MetaCall MCP Server
Exposes MetaCall FaaS capabilities as MCP tools for deploying, invoking, and managing serverless functions.
README
MetaCall MCP Server
A Model Context Protocol (MCP) server implemented in TypeScript on top of the metacall/protocol API. It exposes the complete MetaCall FaaS surface as MCP tools.
Architecture
┌────────────────────────────┐
│ MCP Client │
│ (CLI / IDE / Local LLM) │
└─────────────┬──────────────┘
│ (JSON-RPC over stdio)
▼
┌────────────────────────────┐
│ MCP Server (TS) │
│ - Tool Router │
│ - Zod Validation │
│ - Tool Handlers │
│ - Error Boundary │
└─────────────┬──────────────┘
│ (Function Calls)
▼
┌────────────────────────────┐
│ Protocol Client │
│ (metacall/protocol API) │
└─────────────┬──────────────┘
│ (Axios REST)
▼
┌────────────────────────────┐
│ MetaCall FaaS │
│ (Deploy + Runtime Layer) │
└────────────────────────────┘
Exposed Tools
System
| Tool | Description |
|---|---|
refresh |
Refresh the MetaCall JWT authentication token |
ready |
Check if the server is ready |
validate |
Validate the current auth token |
deployEnabled |
Check if deployments are enabled |
Subscriptions
| Tool | Description |
|---|---|
listSubscriptions |
List all active subscriptions |
listSubscriptionsDeploys |
List deployments for subscriptions |
Deployment
| Tool | Description |
|---|---|
inspect |
Inspect all deployments |
inspectByName |
Inspect a deployment by name |
upload |
Upload a zip package/blob into the FaaS |
add |
Add a new deployment |
deploy |
Trigger a deployment |
deployDelete |
Delete a deployment |
logs |
Retrieve deployment logs |
Repository
| Tool | Description |
|---|---|
branchList |
List branches in the repository |
fileList |
List files in the repository |
Invocation
| Tool | Description |
|---|---|
invoke |
Invoke a deployed function |
call |
Call a function directly |
await |
Await an async function result |
Design Principles
- 1:1 abstraction over the protocol API
- Async-safe Promise-based handlers
- Structured error boundary for consistent error handling
- Retry support via
waitFor - Zod-based input validation for all tool inputs
- Clean separation of concerns across layers
Installation & Setup
Prerequisites
- Node.js: v18 or higher.
- MetaCall Token: You need an active authentication token. You can get this by logging into dashboard.metacall.io.
1. Build the Server
First, clone this repository to your local machine, install the dependencies, and compile the TypeScript code:
git clone https://github.com/Somsubhra-Nandi/metacall-mcp-server.git
cd metacall-mcp-server
npm install
npm run build
Note: Get the absolute path of your
metacall-mcp-server/dist/index.jsfile as we will need it for the client configuration.
2. Client Configuration
The Model Context Protocol (MCP) allows us to use this server across various AI clients. Below are the setup instructions for Claude Desktop and Google Antigravity.
Option A: Claude Desktop
-
Open your Claude Desktop configuration file based on your operating system:
- macOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json - Windows:
%APPDATA%\Claude\claude_desktop_config.json
- macOS:
-
Add the MetaCall server to your
mcpServersobject. Replace theargspath with the actual absolute path todist/index.js, and insert your MetaCall token:
{
"mcpServers": {
"metacall-faas": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/metacall-mcp-server/dist/index.js"
],
"env": {
"METACALL_TOKEN": "your_jwt_token_here",
"METACALL_BASE_URL": "https://dashboard.metacall.io"
}
}
}
}
Windows Users: Remember to use double backslashes. e.g.,
C:\\Users\\Name\\metacall-mcp-server\\dist\\index.js
- Restart Claude Desktop.
Option B: Google Antigravity
-
Open your Antigravity configuration file based on your operating system:
- macOS / Linux:
~/.gemini/antigravity/mcp_config.json - Windows:
%USERPROFILE%\.gemini\antigravity\mcp_config.json
- macOS / Linux:
-
Add the exact same JSON configuration block used for Claude Desktop (above) into your
mcp_config.jsonfile:
{
"mcpServers": {
"metacall-faas": {
"command": "node",
"args": [
"/ABSOLUTE/PATH/TO/metacall-mcp-server/dist/index.js"
],
"env": {
"METACALL_TOKEN": "your_jwt_token_here",
"METACALL_BASE_URL": "https://dashboard.metacall.io"
}
}
}
}
- In the Antigravity UI, navigate to the Agent Manager panel, click Manage MCP Servers, and hit Refresh. The server will be connected.
Upload Tool – How to Provide the Zip Package
The upload tool sends a zip package to MetaCall Cloud before deploying it. The MetaCall API expects the package as a binary buffer. The zip file must be encoded as a base64 string and then reconstructed into a buffer inside the MCP server.
Base64 works across all MCP clients because it is simply a text representation of the binary zip file.
Two ways of providing the zip package are supported:
1. zipBase64 (Recommended and works for all)
This is the portable method and works with all MCP clients such as Claude, antigravity and others.
Steps
-
Create a zip file containing your source code. The source files should be at the root of the zip archive.
Example structure:
package.zip └── abc.js -
Convert the zip file to a base64 string.
Linux:
base64 package.zipmacOS:
base64 package.zipWindows (PowerShell):
[Convert]::ToBase64String([IO.File]::ReadAllBytes("absolute path of the zip file")) -
Pass the base64 string to the upload tool.
Example tool input:
{ "name": "myPackage", "zipBase64": "ABCDEF...", "runners": ["node"] }
The MCP server will convert the base64 string back into a binary buffer and send it to the MetaCall API.
2. zipPath (Local Development Only)
When the MCP server has direct access to the local filesystem (for example when testing locally or using tools like Antigravity), the zip file can be provided as a file path.
Example:
{
"name": "myPackage",
"zipPath": "./package.zip"
}
The MCP server reads the file from disk using the provided path and uploads it to MetaCall.
Note:
zipPathmay not work with remote LLM clients like Claude because those clients cannot access files on the MCP server's filesystem.
Recommendation
For compatibility across all MCP clients, using zipBase64 is recommended.
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.