FV Backlog MCP Server
An MCP server for interacting with the Backlog API, enabling AI agents to manage projects, issues, wikis, and more, with support for restricting access to a subset of Backlog projects.
README
FV Backlog MCP Server
๐ ๆฅๆฌ่ชใงใฎใๅฉ็จใฌใคใ
A Model Context Protocol (MCP) server for interacting with the Backlog API. This server provides tools for managing projects, issues, wiki pages, and more in Backlog through AI agents like Claude Desktop / Cline / Cursor etc.
This is a fork of nulab/backlog-mcp-server (based on upstream v0.15.1), published as
@fyosimi/fv-backlog-mcp-server.It adds one thing: project scoping โ the ability to confine every tool to an explicit allow-list of Backlog projects, so an agent cannot work across project boundaries. Everything else is upstream's, under the MIT license. Bug reports about the scoping belong here; anything else is likely better filed upstream.
Features
- Project tools (create, read, update, delete)
- Issue tracking and comments (create, update, delete, list)
- Version/Milestone management (create, read, update, delete)
- Wiki page support
- Git repository and pull request tools
- Notification tools
- GraphQL-style field selection for optimized responses
- Token limiting for large responses
Getting Started
Requirements
- Docker
- A Backlog account with API access
- API key from your Backlog account
Option 1: Install via Docker
The easiest way to use this MCP server is through MCP configurations:
- Open MCP settings
- Navigate to the MCP configuration section
- Add the following configuration:
{
"mcpServers": {
"backlog": {
"command": "docker",
"args": [
"run",
"--pull",
"always",
"-i",
"--rm",
"-e",
"BACKLOG_DOMAIN",
"-e",
"BACKLOG_API_KEY",
"-e",
"BACKLOG_ALLOWED_PROJECTS",
"ghcr.io/fv-forgevision/fv-backlog-mcp-server"
],
"env": {
"BACKLOG_DOMAIN": "your-domain.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA"
}
}
}
}
Replace your-domain.backlog.com with your Backlog domain and your-api-key with your Backlog API key.
โ If you cannot use --pull always, you can manually update the image using:
docker pull ghcr.io/fv-forgevision/fv-backlog-mcp-server:latest
Option 2: Install via npx
You can also run the server directly using npx without cloning the repository. This is a convenient way to run the server without a full installation.
- Open MCP settings
- Navigate to the MCP configuration section
- Add the following configuration:
{
"mcpServers": {
"backlog": {
"command": "npx",
"args": ["@fyosimi/fv-backlog-mcp-server"],
"env": {
"BACKLOG_DOMAIN": "your-domain.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA"
}
}
}
}
Replace your-domain.backlog.com with your Backlog domain and your-api-key with your Backlog API key.
Option 3: Manual Setup (Node.js)
-
Clone and install:
git clone https://github.com/fv-forgevision/fv-backlog-mcp-server.git cd fv-backlog-mcp-server pnpm install pnpm run build -
Create
.envfrom template and set required variables:
cp .env.example .env
Set the following values in .env:
BACKLOG_DOMAIN=your-domain.backlog.comBACKLOG_API_KEY=your-api-key
- Run locally:
pnpm run dev
- Set your json to use as MCP
{
"mcpServers": {
"backlog": {
"command": "node",
"args": ["your-repository-location/build/index.js"],
"env": {
"BACKLOG_DOMAIN": "your-domain.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA"
}
}
}
}
HTTP transport (Streamable HTTP)
By default the server uses stdio. To run the MCP Streamable HTTP transport instead (JSON-RPC over HTTP, same tools as stdio), start with --transport http or set MCP_TRANSPORT=http.
pnpm run build
MCP_TRANSPORT=http MCP_HTTP_PORT=3333 node build/index.js
- Endpoint:
POST(andGETfor server-initiated streams) onhttp://<host>:<port><path>(default path/mcp). - Protocol: MCP
2026-07-28. The protocol is stateless: there is noinitializehandshake and nomcp-session-idheader. Clients send their metadata in_metaon every request and discover capabilities viaserver/discover. Streamable HTTP also requires theMcp-Methodheader (andMcp-Nameontools/call). - Backward compatibility: Clients on
2025-11-25and earlier are still served over the same endpoint, statelessly. Because no session is kept, the 2025 session operations (GET/DELETEwith anmcp-session-id) answer405. - Security: Default bind is
127.0.0.1. On a bare loopback bind,HostandOriginare both validated against the localhost set (DNS rebinding protection). Behind a reverse proxy, set--http-allowed-hoststo the public hostname; that turns off the localhostOrigindefault, since a browser client'sOriginis its own site and never this server's hostname. Add--http-allowed-originsto restrict which client origins may reach the server. Do not expose the HTTP port to untrusted networks without authentication and TLS; it allows full use of your Backlog API key via MCP tools.
Environment variables (CLI flags override when both are set):
| Variable | Description |
|---|---|
MCP_TRANSPORT |
stdio (default) or http |
MCP_HTTP_HOST |
Bind address (default 127.0.0.1) |
MCP_HTTP_PORT |
Port (default 3333) |
MCP_HTTP_PATH |
URL path (default /mcp) |
MCP_HTTP_JSON_RESPONSE |
true to prefer JSON responses over SSE (applies to 2026-07-28 clients only) |
MCP_HTTP_ALLOWED_HOSTS |
Comma-separated allowed Host hostnames (port-agnostic). Required when binding to 0.0.0.0; also the escape hatch for a loopback bind behind a proxy (DNS rebinding protection) |
MCP_HTTP_ALLOWED_ORIGINS |
Comma-separated allowed Origin hostnames for browser-based clients. Defaults to the localhost set on a bare loopback bind, and to no Origin check otherwise |
OAuth 2.0 Authentication (Remote MCP)
When exposing the MCP server over a network, you can enable OAuth 2.0 authentication so that each user authenticates with their own Backlog account instead of sharing a single API key.
The server implements the MCP Third-Party Authorization Flow by acting as both an OAuth authorization server (for MCP clients) and an OAuth client (for Backlog).
Prerequisites
-
Register an OAuth application in your Backlog space:
- Go to your Backlog space โ Personal Settings โ Register Application
- Set the Redirect URI to
<MCP_SERVER_BASE_URL>/callback(e.g.,https://mcp.example.com/callback) - Note the Client ID and Client Secret
-
Set the following environment variables (in addition to
BACKLOG_DOMAIN):
| Variable | Description |
|---|---|
BACKLOG_OAUTH_CLIENT_ID |
OAuth Client ID from your Backlog application |
BACKLOG_OAUTH_CLIENT_SECRET |
OAuth Client Secret from your Backlog application |
MCP_SERVER_BASE_URL |
Public URL of your MCP server (e.g., https://mcp.example.com) |
Note:
BACKLOG_API_KEYis not required when OAuth is enabled โ each user authenticates with their own Backlog account.
Example
BACKLOG_DOMAIN=your-space.backlog.com \
BACKLOG_OAUTH_CLIENT_ID=your-client-id \
BACKLOG_OAUTH_CLIENT_SECRET=your-client-secret \
MCP_SERVER_BASE_URL=https://mcp.example.com \
node build/index.js --transport http --http-host 0.0.0.0 --http-port 3333 \
--http-allowed-hosts mcp.example.com
--http-allowed-hosts is required in practice when binding to 0.0.0.0: without it there is no DNS rebinding protection, and the server logs a warning at startup.
The server automatically exposes the following OAuth endpoints when OAuth is enabled:
| Endpoint | Description |
|---|---|
GET /.well-known/oauth-authorization-server |
OAuth Authorization Server Metadata (RFC 8414) |
GET /.well-known/oauth-protected-resource/mcp |
OAuth Protected Resource Metadata (RFC 9728) |
POST /register |
Dynamic Client Registration (RFC 7591) |
GET /authorize |
Authorization endpoint (redirects to Backlog OAuth) |
GET /callback |
Backlog OAuth callback |
POST /token |
Token endpoint (authorization code & refresh token) |
MCP clients that support the MCP authorization specification will use these endpoints automatically.
Limitations:
- OAuth mode currently supports a single Backlog organization. It is not compatible with the multi-organization configuration.
- Client registrations and tokens are stored in memory and will be lost on server restart.
Project Scope (fork addition)
Set BACKLOG_ALLOWED_PROJECTS (or --allowed-projects) to a comma-separated list of project keys and every tool is confined to those projects.
This setting is required. With it unset or empty the server refuses to start and exits with status 1. There is no "whole space" mode โ a missing setting silently granting access to every project is the accident this fork exists to prevent.
{
"mcpServers": {
"backlog": {
"command": "npx",
"args": ["-y", "@fyosimi/fv-backlog-mcp-server"],
"env": {
"BACKLOG_DOMAIN": "your-space.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA"
}
}
}
}
When a scope is set:
- Tools taking a project argument refuse anything outside the allow-list, before the call reaches Backlog.
- Tools whose project filter is optional (
get_issues,count_issues,get_documents) get the allow-list injected, so an unfiltered call can no longer sweep the whole space. - Tools addressed by issue, wiki, or document id (
get_issue,update_wiki,get_document, โฆ) resolve the owning project first and then check it. Issue keys such asPBL-123are decided from the prefix alone, without an API call. - 18 tools that cannot be narrowed to a project โ notifications, watching, space activity, user listing, and project administration โ are not registered at all (62 โ 44 tools).
Important: this is a guard against accidental cross-project work, not a security boundary. The credential itself still carries space-wide permissions. For a real boundary, issue the API key from an account that only belongs to the intended projects, and treat this layer as defense in depth.
See docs/project-scope.md for the full behaviour, the list of unregistered tools, and the implementation layout.
Tool Configuration
You can selectively enable or disable specific toolsets using the --enable-toolsets command-line flag or the ENABLE_TOOLSETS environment variable. This allows better control over which tools are available to the AI agent and helps reduce context size.
Available Toolsets
The following toolsets are available (enabled by default when "all" is used):
| Toolset | Description |
|---|---|
space |
Tools for managing Backlog space settings and general information |
project |
Tools for managing projects, categories, custom fields, and issue types |
issue |
Tools for managing issues and their comments, version milestones |
wiki |
Tools for managing wiki pages |
git |
Tools for managing Git repositories and pull requests |
notifications |
Tools for managing user notifications |
document |
Tools for viewing documents and document trees |
Specifying Toolsets
You can control toolset activation in the following ways:
Using via CLI:
--enable-toolsets space,project,issue
Or via environment variable:
ENABLE_TOOLSETS="space,project,issue"
If all is specified, all available toolsets will be enabled. This is also the default behavior.
Using selective toolsets can be helpful if the toolset list is too large for your AI agent or if certain tools are causing performance issues. In such cases, disabling unused toolsets may improve stability.
๐งฉ Tip:
projecttoolset is highly recommended, as many other tools rely on project data as an entry point.
Dynamic Toolset Discovery (Experimental)
If you're using the MCP server with AI agents, you can enable dynamic discovery of toolsets at runtime:
Enabling via CLI:
--dynamic-toolsets
Or via environment variable::
-e DYNAMIC_TOOLSETS=1 \
With dynamic toolsets enabled, the LLM will be able to list and activate toolsets on demand via tool interface.
Scope over HTTP: MCP
2026-07-28has no protocol sessions, so an activated toolset is remembered per server process, not per client. On the HTTP transport every connected client shares one toolset state, and it resets when the process restarts. Tool visibility is shared; authorization is not โ every call is still authenticated with the caller's own credentials.
Available Tools
Toolset: space
Tools for managing Backlog space settings and general information.
get_space: Returns information about the Backlog space.get_users: Returns list of users in the Backlog space.get_myself: Returns information about the authenticated user.
Toolset: project
Tools for managing projects, categories, custom fields, and issue types.
get_project_list: Returns list of projects.add_project: Creates a new project.get_project: Returns information about a specific project.get_project_users: Returns list of users in a specific project.update_project: Updates an existing project.delete_project: Deletes a project.
Toolset: issue
Tools for managing issues, their comments, and related items like priorities, categories, custom fields, issue types, resolutions, and watching lists.
get_issue: Returns information about a specific issue.get_issues: Returns list of issues.count_issues: Returns count of issues.add_issue: Creates a new issue in the specified project.update_issue: Updates an existing issue.delete_issue: Deletes an issue.get_issue_comments: Returns list of comments for an issue.add_issue_comment: Adds a comment to an issue.update_issue_comment: Updates a comment on an issue.get_related_issues: Returns list of issues related to a specific issue.add_related_issue: Relates an issue to another issue.remove_related_issue: Removes the relation between an issue and a related issue.get_priorities: Returns list of priorities.get_categories: Returns list of categories for a project.get_custom_fields: Returns list of custom fields for a project.get_issue_types: Returns list of issue types for a project.get_resolutions: Returns list of issue resolutions.get_watching_list_items: Returns list of watching items for a user.get_watching_list_count: Returns count of watching items for a user.add_watching: Adds a new watch to an issue.update_watching: Updates an existing watch note.delete_watching: Deletes a watch from an issue.mark_watching_as_read: Marks a watch as read.get_version_milestone_list: Returns list of version milestones for a project.add_version_milestone: Creates a new version milestone for a project.update_version_milestone: Updates an existing version milestone.delete_version_milestone: Deletes a version milestone.
Toolset: wiki
Tools for managing wiki pages.
get_wiki_pages: Returns list of Wiki pages.get_wikis_count: Returns count of wiki pages in a project.get_wiki: Returns information about a specific wiki page.add_wiki: Creates a new wiki page.
Toolset: git
Tools for managing Git repositories and pull requests.
get_git_repositories: Returns list of Git repositories for a project.get_git_repository: Returns information about a specific Git repository.get_pull_requests: Returns list of pull requests for a repository.get_pull_requests_count: Returns count of pull requests for a repository.get_pull_request: Returns information about a specific pull request.add_pull_request: Creates a new pull request.update_pull_request: Updates an existing pull request.get_pull_request_comments: Returns list of comments for a pull request.add_pull_request_comment: Adds a comment to a pull request.update_pull_request_comment: Updates a comment on a pull request.
Toolset: notifications
Tools for managing user notifications.
get_notifications: Returns list of notifications.get_notifications_count: Returns count of notifications.reset_unread_notification_count: Resets unread notification count.mark_notification_as_read: Marks a notification as read.
Toolset: document
Tools for managing documents and document trees in Backlog projects.
get_document_tree: Returns the hierarchical tree of documents for a project, including folders and neget_documents: Returns a flat list of documents in a project or folder.get_document: Returns detailed information about a specific document, including metadata, content, an
Usage Examples
Once the MCP server is configured in AI agents, you can use the tools directly in your conversations. Here are some examples:
- Listing Projects
Could you list all my Backlog projects?
- Creating a New Issue
Create a new bug issue in the PROJECT-KEY project with high priority titled "Fix login page error"
- Getting Project Details
Show me the details of the PROJECT-KEY project
- Working with Git Repositories
List all Git repositories in the PROJECT-KEY project
- Managing Pull Requests
Show me all open pull requests in the repository "repo-name" of PROJECT-KEY project
Create a new pull request from branch "feature/new-feature" to "main" in the repository "repo-name" of PROJECT-KEY project
- Watching Items
Show me all items I'm watching
i18n / Overriding Descriptions
You can override the descriptions of tools by creating a .@fyosimi/fv-backlog-mcp-serverrc.json file in your home directory.
The file should contain a JSON object with the tool names as keys and the new descriptions as values.
For example:
{
"TOOL_ADD_ISSUE_COMMENT_DESCRIPTION": "An alternative description",
"TOOL_CREATE_PROJECT_DESCRIPTION": "Create a new project in Backlog"
}
When the server starts, it determines the final description for each tool based on the following priority:
- Environment variables (e.g.,
BACKLOG_MCP_TOOL_ADD_ISSUE_COMMENT_DESCRIPTION) - Entries in
.@fyosimi/fv-backlog-mcp-serverrc.json- Supported configuration file formats: .json, .yaml, .yml - Built-in fallback values (English)
Sample config:
{
"mcpServers": {
"backlog": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BACKLOG_DOMAIN",
"-e",
"BACKLOG_API_KEY",
"-e",
"BACKLOG_ALLOWED_PROJECTS",
"-v",
"/yourcurrentdir/.@fyosimi/fv-backlog-mcp-serverrc.json:/root/.@fyosimi/fv-backlog-mcp-serverrc.json:ro",
"ghcr.io/fv-forgevision/fv-backlog-mcp-server"
],
"env": {
"BACKLOG_DOMAIN": "your-domain.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA"
}
}
}
}
Exporting Current Translations
You can export the current default translations (including any overrides) by running the binary with the --export-translations flag.
This will print all tool descriptions to stdout, including any customizations you have made.
Example:
docker run -i --rm ghcr.io/fv-forgevision/fv-backlog-mcp-server node build/index.js --export-translations
or
npx github:fv-forgevision/fv-backlog-mcp-server --export-translations
Using Environment Variables
Alternatively, you can override tool descriptions via environment variables.
The environment variable names are based on the tool keys, prefixed with BACKLOGMCP and written in uppercase.
Example: To override the TOOL_ADD_ISSUE_COMMENT_DESCRIPTION:
{
"mcpServers": {
"backlog": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "BACKLOG_DOMAIN",
"-e", "BACKLOG_API_KEY",
"-e", "BACKLOG_ALLOWED_PROJECTS",
"-e", "BACKLOG_MCP_TOOL_ADD_ISSUE_COMMENT_DESCRIPTION",
"ghcr.io/fv-forgevision/fv-backlog-mcp-server"
],
"env": {
"BACKLOG_DOMAIN": "your-domain.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA",
"BACKLOG_MCP_TOOL_ADD_ISSUE_COMMENT_DESCRIPTION": "An alternative description"
}
}
}
}
The server loads the config file synchronously at startup.
Environment variables always take precedence over the config file.
Advanced Features
Tool Name Prefixing
Add prefix to tool names with:
--prefix backlog_
or via environment variable:
PREFIX="backlog_"
This is especially useful if you're using multiple MCP servers or tools in the same environment and want to avoid name collisions. For example, get_project can become backlog_get_project to distinguish it from similarly named tools provided by other services.
Response Optimization & Token Limits
Field Selection (GraphQL-style)
--optimize-response
Or environment variable:
OPTIMIZE_RESPONSE=1
Then, request only specific fields:
get_project(projectIdOrKey: "PROJECT-KEY", fields: "{ name key description }")
The AI will use field selection to optimize the response:
get_project(projectIdOrKey: "PROJECT-KEY", fields: "{ name key description }")
Benefits:
- Reduce response size by requesting only needed fields
- Focus on specific data points
- Improve performance for large responses
Token Limiting
Large responses are automatically limited to prevent exceeding token limits:
- Default limit: 50,000 tokens
- Configurable via
MAX_TOKENSenvironment variable - Responses exceeding the limit are truncated with a message
You can change this using:
MAX_TOKENS=10000
If a response exceeds the limit, it will be truncated with a warning.
Note: This is a best-effort mitigation, not a guaranteed enforcement.
Full Custom Configuration Example
This section demonstrates advanced configuration using multiple environment variables. These are experimental features and may not be supported across all MCP clients. This is not part of the MCP standard specification and should be used with caution.
{
"mcpServers": {
"backlog": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BACKLOG_DOMAIN",
"-e",
"BACKLOG_API_KEY",
"-e",
"BACKLOG_ALLOWED_PROJECTS",
"-e",
"MAX_TOKENS",
"-e",
"OPTIMIZE_RESPONSE",
"-e",
"PREFIX",
"-e",
"ENABLE_TOOLSETS",
"ghcr.io/fv-forgevision/fv-backlog-mcp-server"
],
"env": {
"BACKLOG_DOMAIN": "your-domain.backlog.com",
"BACKLOG_API_KEY": "your-api-key",
"BACKLOG_ALLOWED_PROJECTS": "PBL,INFRA",
"MAX_TOKENS": "10000",
"OPTIMIZE_RESPONSE": "1",
"PREFIX": "backlog_",
"ENABLE_TOOLSETS": "space,project,issue",
"ENABLE_DYNAMIC_TOOLSETS": "1"
}
}
}
}
Development
Running Tests
pnpm test
Adding New Tools
- Create a new file in
src/tools/following the pattern of existing tools - Create a corresponding test file
- Add the new tool to
src/tools/tools.ts - Add a scope rule in
src/scope/toolScopePolicy.tsโ unclassified tools are blocked by default - Build and test your changes
Releasing and Publishing
See docs/publishing.ja.md (Japanese) for how this fork is published to npm as @fyosimi/fv-backlog-mcp-server and to GHCR, and for how to merge upstream changes.
Command Line Options
The server supports several command line options:
--transport stdio|http: MCP transport (default: stdio). Usehttpfor Streamable HTTP.--http-host,--http-port,--http-path: HTTP bind address, port, and path (defaults:127.0.0.1,3333,/mcp).--http-json-response: Prefer JSON responses over SSE. Applies to2026-07-28clients only; the backward-compatible2025-11-25path is served with the SDK's default response shaping.--http-allowed-hosts: Comma-separated allowedHosthostnames (port-agnostic). Needed when binding to all interfaces, or on a loopback bind behind a reverse proxy.--http-allowed-origins: Comma-separated allowedOriginhostnames for browser-based clients. Defaults to the localhost set on a bare loopback bind, and to noOrigincheck otherwise.--export-translations: Export all translation keys and values--optimize-response: Enable GraphQL-style field selection--max-tokens=NUMBER: Set maximum token limit for responses--prefix=STRING: Optional string prefix to prepend to all tool names (default: "")--enable-toolsets <toolsets...>: Specify which toolsets to enable (comma-separated or multiple arguments). Defaults to "all". Example:--enable-toolsets space,projector--enable-toolsets issue --enable-toolsets gitAvailable toolsets:space,project,issue,wiki,git,notifications.--allowed-projects=KEYS: Required. Comma-separated project keys this server may touch (e.g.PBL,INFRA). Case-insensitive. Confines every tool to those projects and drops the tools that cannot be narrowed to one. The server refuses to start when it is empty. See Project Scope.
Example:
node build/index.js --optimize-response --max-tokens=100000 --prefix="backlog_" --enable-toolsets space,issue --allowed-projects PBL,INFRA
HTTP example:
node build/index.js --transport http --http-port 3333 --http-path /mcp
Multi-Organization Support
This server can be configured to access multiple Backlog organizations from a single MCP server instance.
Configuration
Configure one env pair per organization and set a default organization:
BACKLOG_DEFAULT_ORG=COMPANY_A
BACKLOG_ORG_COMPANY_A_DOMAIN=company-a.backlog.com
BACKLOG_ORG_COMPANY_A_API_KEY=your-company-a-api-key
BACKLOG_ORG_COMPANY_B_DOMAIN=company-b.backlog.com
BACKLOG_ORG_COMPANY_B_API_KEY=your-company-b-api-key
This works whether the variables come from a local .env, your shell environment, or an MCP client config env block.
Example MCP config:
{
"env": {
"BACKLOG_DEFAULT_ORG": "COMPANY_A",
"BACKLOG_ORG_COMPANY_A_DOMAIN": "company-a.backlog.com",
"BACKLOG_ORG_COMPANY_A_API_KEY": "your-company-a-api-key",
"BACKLOG_ORG_COMPANY_B_DOMAIN": "company-b.backlog.com",
"BACKLOG_ORG_COMPANY_B_API_KEY": "your-company-b-api-key"
}
}
If no multi-organization env vars are set, the server falls back to the existing single-organization configuration:
BACKLOG_DOMAIN=your-domain.backlog.com
BACKLOG_API_KEY=your-api-key
Tool Usage
When multi-organization env vars are configured, all normal tools accept an optional organization input field. When provided, the tool call is routed to that Backlog organization.
In single-organization mode the field is not published, since there would be only one organization to route to. Omitting it keeps roughly 8 KB of tool schema out of every tools/list response.
Examples:
{
"organization": "COMPANY_B",
"projectKey": "PROJECT"
}
If organization is omitted:
- the organization named by
BACKLOG_DEFAULT_ORGis used - if multi-organization env vars are present and
BACKLOG_DEFAULT_ORGis missing, the server fails at startup
Organization Discovery
In multi-organization mode the server provides a list_organizations tool that returns the configured organization names, their domains, and which one is the default. It is not registered in single-organization mode.
Example response:
[
{
"name": "COMPANY_A",
"domain": "company-a.backlog.com",
"isDefault": true
},
{
"name": "COMPANY_B",
"domain": "company-b.backlog.com",
"isDefault": false
}
]
Notes
- For multi-org mode, every organization must define both
BACKLOG_ORG_<NAME>_DOMAINandBACKLOG_ORG_<NAME>_API_KEY. - The
<NAME>part is the organization name exposed through theorganizationtool input andlist_organizations.
License
This project is licensed under the MIT License.
Please note: This tool is provided under the MIT License without any warranty or official support.
Use it at your own risk after reviewing the contents and determining its suitability for your needs.
If you encounter any issues, please report them via GitHub Issues.
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A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.