Flagsmith

Flagsmith

MCP server for Flagsmith's Core and SDK APIs, enabling management of feature flags and configurations.

Category
Visit Server

README

flagsmith

Model Context Protocol (MCP) Server for the flagsmith API.

Built by Speakeasy License: MIT

<br /><br />

[!IMPORTANT] This MCP Server is not yet ready for production use. To complete setup please follow the steps outlined in your workspace. Delete this notice before publishing to a package manager.

<!-- Start Summary [summary] -->

Summary

mcp_openapi: Flagsmith's Core and SDK APIs. Check out <a href='https://docs.flagsmith.com'>Flagsmith documentation</a>. <!-- End Summary [summary] -->

<!-- Start Table of Contents [toc] -->

Table of Contents

<!-- $toc-max-depth=2 -->

<!-- End Table of Contents [toc] -->

<!-- Start Installation [installation] -->

Installation

[!TIP] To finish publishing your MCP Server to npm and others you must run your first generation action. <details> <summary>Claude Desktop</summary>

Install the MCP server as a Desktop Extension using the pre-built mcp-server.mcpb file:

Simply drag and drop the mcp-server.mcpb file onto Claude Desktop to install the extension.

The MCP bundle package includes the MCP server and all necessary configuration. Once installed, the server will be available without additional setup.

[!NOTE] MCP bundles provide a streamlined way to package and distribute MCP servers. Learn more about Desktop Extensions.

</details>

<details> <summary>Cursor</summary>

Install MCP Server

Or manually:

  1. Open Cursor Settings
  2. Select Tools and Integrations
  3. Select New MCP Server
  4. If the configuration file is empty paste the following JSON into the MCP Server Configuration:
{
  "command": "npx",
  "args": [
    "flagsmith",
    "start",
    "--token-auth",
    ""
  ]
}

</details>

<details> <summary>Claude Code CLI</summary>

claude mcp add Flagsmith -- npx -y flagsmith start --token-auth 

</details> <details> <summary>Gemini</summary>

gemini mcp add Flagsmith -- npx -y flagsmith start --token-auth 

</details> <details> <summary>Windsurf</summary>

Refer to Official Windsurf documentation for latest information

  1. Open Windsurf Settings
  2. Select Cascade on left side menu
  3. Click on Manage MCPs. (To Manage MCPs you should be signed in with a Windsurf Account)
  4. Click on View raw config to open up the mcp configuration file.
  5. If the configuration file is empty paste the full json
{
  "command": "npx",
  "args": [
    "flagsmith",
    "start",
    "--token-auth",
    ""
  ]
}

</details> <details> <summary>VS Code</summary>

Install in VS Code

Or manually:

Refer to Official VS Code documentation for latest information

  1. Open Command Palette
  2. Search and open MCP: Open User Configuration. This should open mcp.json file
  3. If the configuration file is empty paste the full json
{
  "command": "npx",
  "args": [
    "flagsmith",
    "start",
    "--token-auth",
    ""
  ]
}

</details> <details> <summary> Stdio installation via npm </summary> To start the MCP server, run:

npx flagsmith start --token-auth 

For a full list of server arguments, run:

npx flagsmith --help

</details> <!-- End Installation [installation] -->

<!-- Start Progressive Discovery [dynamic-mode] -->

Progressive Discovery

MCP servers with many tools can bloat LLM context windows, leading to increased token usage and tool confusion. Dynamic mode solves this by exposing only a small set of meta-tools that let agents progressively discover and invoke tools on demand.

To enable dynamic mode, pass the --mode dynamic flag when starting your server:

{
  "mcpServers": {
    "Flagsmith": {
      "command": "npx",
      "args": ["flagsmith", "start", "--mode", "dynamic"],
      // ... other server arguments
    }
  }
}

In dynamic mode, the server registers only the following meta-tools instead of every individual tool:

  • list_tools: Lists all available tools with their names and descriptions.
  • describe_tool: Returns the input schema for one or more tools by name.
  • execute_tool: Executes a tool by name with the provided input parameters.

This approach significantly reduces the number of tokens sent to the LLM on each request, which is especially useful for servers with a large number of tools. <!-- End Progressive Discovery [dynamic-mode] -->

<!-- Placeholder for Future Speakeasy SDK Sections -->

Development

Run locally without a published npm package:

  1. Clone this repository
  2. Run npm install
  3. Run npm run build
  4. Run node ./bin/mcp-server.js start --token-auth To use this local version with Cursor, Claude or other MCP Clients, you'll need to add the following config:
{
  "command": "node",
  "args": [
    "./bin/mcp-server.js",
    "start",
    "--token-auth",
    ""
  ]
}

Or to debug the MCP server locally, use the official MCP Inspector:

npx @modelcontextprotocol/inspector node ./bin/mcp-server.js start --token-auth 

Publishing to Anthropic MCP Registry

To publish your MCP server to the Anthropic MCP Registry, follow these steps based on the official publishing guide.

Step 1: Configure mcpName in Your Generation Config

Add the mcpName field to your .speakeasy/gen.yaml file:

mcp-typescript:
  mcpName: io.github.username/server-name  # Use reverse-DNS format
  # ... other configuration

The mcpName should follow the reverse-DNS format (e.g., io.github.username/server-name) to ensure uniqueness in the registry.

Step 2: Regenerate Your MCP Server

Run Speakeasy generation with the updated configuration. This will:

  • Add the mcpName field to your package.json (required for npm package validation)
  • Generate a server.json file with registry metadata

Step 3: Publish to npm

The registry validates npm packages by checking that your published package includes the mcpName field:

npm publish

The registry will fetch your package from npm and verify that the mcpName in package.json matches your server name.

Step 4: Install the Publisher CLI

Install the mcp-publisher CLI tool:

macOS/Linux (Homebrew):

brew install mcp-publisher

macOS/Linux/WSL (curl):

curl -L "https://github.com/modelcontextprotocol/registry/releases/latest/download/mcp-publisher_$(uname -s | tr '[:upper:]' '[:lower:]')_$(uname -m | sed 's/x86_64/amd64/;s/aarch64/arm64/').tar.gz" | tar xz mcp-publisher && sudo mv mcp-publisher /usr/local/bin/

Windows PowerShell:

$arch = if ([System.Runtime.InteropServices.RuntimeInformation]::ProcessArchitecture -eq "Arm64") { "arm64" } else { "amd64" }
Invoke-WebRequest -Uri "https://github.com/modelcontextprotocol/registry/releases/latest/download/mcp-publisher_windows_$arch.tar.gz" -OutFile "mcp-publisher.tar.gz"
tar xf mcp-publisher.tar.gz mcp-publisher.exe
rm mcp-publisher.tar.gz
# Move mcp-publisher.exe to a directory in your PATH

Step 5: Authenticate

Authenticate based on your namespace:

For io.github.* namespaces (GitHub OAuth):

mcp-publisher login github

For custom domains like com.yourcompany.* (DNS authentication):

# Generate keypair
openssl genpkey -algorithm Ed25519 -out key.pem

# Get public key for DNS record
echo "yourcompany.com. IN TXT \"v=MCPv1; k=ed25519; p=$(openssl pkey -in key.pem -pubout -outform DER | tail -c 32 | base64)\""

# Add the TXT record to your DNS, then login
mcp-publisher login dns --domain yourcompany.com --private-key $(openssl pkey -in key.pem -noout -text | grep -A3 "priv:" | tail -n +2 | tr -d ' :\n')

Step 6: Publish to the Registry

From your server directory, publish to the registry:

mcp-publisher publish

You'll see:

✓ Successfully published

Step 7: Verify Publication

Check that your server appears in the registry:

curl "https://registry.modelcontextprotocol.io/v0/servers?search=io.github.username/server-name"

For complete documentation including remote deployments, troubleshooting, and CI/CD automation, see the official publishing guide.

Contributions

While we value contributions to this MCP Server, the code is generated programmatically. Any manual changes added to internal files will be overwritten on the next generation. We look forward to hearing your feedback. Feel free to open a PR or an issue with a proof of concept and we'll do our best to include it in a future release.

MCP Server Created by Speakeasy

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured