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Rexi MCP Server

An MCP (Model Context Protocol) server that wraps the Rexi API and exposes tools and resources for AI assistants.

Features

Tools

  • list_endpoints(tag: Optional[str]) – Lists all API endpoints discovered from docs/openapi.generated.yaml, optionally filtered by tag.

  • call_rexi(...) – Generic caller for any Rexi API endpoint with full parameter support:

    • method: HTTP method (GET, POST, PUT, PATCH, DELETE, etc.)

    • path: API path (e.g., /v1/contracts/{contract_address})

    • path_params: Dictionary to substitute {placeholders} in the path

    • query: Query parameters as key-value pairs

    • body: Request body (sent as JSON)

    • extra_headers: Additional HTTP headers

    • timeout_seconds: Request timeout (default: 30s)

Resources

  • rexi://openapi – Raw OpenAPI YAML specification

  • rexi://routes – JSON summary of all methods, paths, summaries, and tags

  • rexi://schemas – JSON array of available schema filenames

  • rexi-schemas://{name} – Contents of a specific schema file from schema/ directory

Requirements

  • Python 3.10+

  • Dependencies: Install via pip install -r requirements.txt

    • mcp[cli] – MCP SDK with CLI tools

    • httpx – Async HTTP client

    • PyYAML – YAML parser for OpenAPI spec

    • python-dotenv – Environment variable management

  • Rexi API Key (optional but recommended): Set via REXI_API_KEY environment variable

Environment Setup

Create a .env file in the project root (see .env.example):

REXI_API_KEY=your_api_key_here

Environment variables are loaded automatically when the server starts.

Running with the MCP CLI (Inspector)

From the project root:

uv run mcp dev mcp/server.py # or with pipx / pip if you installed the CLI another way: # mcp dev mcp/server.py

This opens the MCP Inspector to interactively test tools and resources.

Install into Claude Desktop (or other hosts)

uv run mcp install mcp/server.py \ -v REXI_API_KEY=your_api_key_here

You can also pass -f .env to load environment variables from a file.

Configuration

The server determines the base URL from the OpenAPI spec servers[0].url. If not found, it defaults to https://api.rexi.sh.

  • Auth header: x-api-key populated from REXI_API_KEY env var if present.

  • OpenAPI file path: docs/openapi.generated.yaml.

  • Schema directory: schema/.

Notes

  • When calling call_rexi, supply any required path_params to fill placeholders like {contract_address} in the path you pass.

  • query and body are sent as query parameters and JSON body respectively.

  • The server validates nothing beyond basic substitution; refer to the schemas under schema/ for expected shapes.

  • All context parameters (ctx) are automatically injected by FastMCP - you don't need to pass them manually.

Troubleshooting

Import Errors

If you get import errors for mcp, ensure you've installed the dependencies:

pip install -r requirements.txt

API Key Issues

If API calls fail with authentication errors, verify your REXI_API_KEY is set correctly in your .env file or environment.

Missing OpenAPI/Schema Files

The server gracefully handles missing docs/openapi.generated.yaml and schema/ directory. If these files are missing:

  • list_endpoints() will return an empty list

  • Resources will return appropriate error messages

  • The server will still start and run

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security - not tested
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license - not found
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quality - not tested

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Rexi-sh/rexi-mcp'

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