API.market offers seamless API integration and API to API integration, making access to over 200 services like Stripe AP
Add new capabilities to Claude beyond text generation
Example: Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example: Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example: Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Time estimate: 15-60 minutes depending on server complexity
Prerequisites
Blender
Connect Blender to Claude AI for seamless 3D modeling. Use AI 3D model generator tools for faster, intuitive, interactiv
Createve.AI Nexus
Createve.AI Nexus unifies REST API and MCP, integrating APIs for AI workflow automation with tools like Calendly API and
Google Tag Manager
Integrate with Google Tag Manager to automate GTM container management, tag setup, and publishing using secure OAuth aut
Slack
MCP server for Slack — enables Claude to interact with Slack data and workflows.
JsonDiffPatch
JsonDiffPatch: compare and patch JSON with a compact delta format capturing additions, edits, deletions, and array moves
API.market is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: API.market is the kind of server we cite when onboarding engineers to host + tool permissions.
API.market reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
API.market is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
We wired API.market into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend API.market for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Strong directory entry: API.market surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired API.market into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
API.market is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Useful MCP listing: API.market is the kind of server we cite when onboarding engineers to host + tool permissions.
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Select a client to integrate this server.
Claude Desktop configuration
{
"mcpServers": {
"api-market": {
"command": "npx",
"args": [
"-y",
"@noveum-ai/mcp-server"
],
"env": {
"API_HEADERS": "x-magicapi-key:your-api-key"
}
}
}
}Provides access to over 200 APIs from API.market including image generation, geocoding, and content detection through a unified authentication system. Converts OpenAPI specifications into MCP tools that can be used directly by language models.
API.market is an official MCP server published by noveum that provides AI assistants with tools and capabilities via the Model Context Protocol. API.market offers seamless API integration and API to API integration, making access to over 200 services like Stripe AP It is categorized under developer tools.
You can install API.market in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
A Model Context Protocol (MCP) server that exposes API-Market's endpoints as MCP resources. This server allows Large Language Models to discover and interact with APIs defined by OpenAPI specifications through the MCP protocol.
This repository provides access to the APIs available at API.market. The tool is free to use and allows agents to communicate freely with all available APIs, making it super powerful. With over 200+ APIs available at API.market, you can leverage a wide range of functionalities.
You do not need to clone this repository to use this MCP server. You can simply configure it in your client of choice.
~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"api-market": {
"command": "npx",
"args": ["-y", "@noveum-ai/mcp-server"],
"env": {
"API_HEADERS": "x-magicapi-key:your-api-key"
}
}
}
}
{
"mcpServers": {
"api-market": {
"command": "npx",
"args": [
"-y",
"@noveum-ai/mcp-server",
"--headers",
"x-magicapi-key:<your-api-key>"
]
}
}
}
Alternatively, add this as the first entry in mcpServers.
"api-market": {
"command": "npx",
"args": [
"-y",
"@noveum-ai/mcp-server",
"--headers",
"x-magicapi-key:<your-api-key>"
]
},
npx -y @noveum-ai/mcp-server --headers x-magicapi-key:your-api-key
To obtain an API key
We can use the agent to find a route between any two points

We can use the agent to find news about any topic, and then dig deeper into the articles

We can use the agent to look for available domains

The utils folder contains helper scripts for managing API configurations, parsing OpenAPI specifications, and registering new APIs into the MCP server.
Find the OpenAPI JSON for the API you want to integrate. After that, create a folder json_files in the root directory of the project and add your OpenAPI JSON spec to the folder
After obtaining the OpenAPI spec, use modify_api.py to update the path inside the spec to include the file name.
python utils/modify_api.py
After modifying the paths, update the API summaries by choosing one of the following options:
python utils/LLM_summary_shortener.py
python utils/manual_summary_shortener.py
Rebuild the project to apply the changes:
npm run build
Then, test the new API integration using:
npm run inspect
If you want to contribute this new API to the repository:
If you want to publish your changes:
package.json accordingly (e.g., update the version, name, etc.).npm publish --access public
npm run build - Builds the TypeScript source.npm run clean - Removes build artifacts.npm run typecheck - Runs TypeScript type checking.npm run dev - Watches source files and rebuilds on changes.npm run inspect-watch - Runs the inspector with auto-reload on changes.npm run lint - Runs ESLint.npm run typecheck - Verifies TypeScript types.npm run inspect -- \
--api-base-url https://api.magicapi.dev/api/v1/ \
--openapi-spec modified_files.txt \
--headers "x-magicapi-key:your-api-key" \
--name "my-mcp-server" \
--version "1.0.0"
npm run inspect-watch
src/.To debug or run the MCP server locally:
git clone https://github.com/Noveum/api-market-mcp-server.git
cd api-market-mcp-server
npm install
npm run build
npm run inspect
npm run typecheck
npm run lint
MIT
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Open AI Docs
Search and read OpenAI developer docs from your editor using MCP. OpenAI hosts a public Model Context Protocol (MCP) ser