API Development MCP Servers

Discover our curated collection of MCP servers for api development. Browse 3209 servers and find the perfect MCPs for your needs.

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Agentic Modelling

Simulates model context protocol interactions using agentic modelling techniques.

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Perspective

Analyzes text for toxicity using the Perspective API within the Model Context Protocol.

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Plane

Enables AI assistants to interact with and manage projects within the Plane project management platform.

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Holaspirit

Exposes Holaspirit data to AI assistants through a Model Context Protocol (MCP) interface.

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Remote Again

Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.

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ElevenLabs

Integrates ElevenLabs text-to-speech API to generate audio from text, manage voices, and track generation history.

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My Server

Manages interactions with the GitHub API.

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Notion

Integrates with the Notion API using the Model Context Protocol (MCP) to function as an MCP server for applications like Cursor.

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EyevinnOSC

Enables the creation of solutions based on open web services for database, storage, and video-on-demand pipeline setup.

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Glide API

Enables interaction with Glide API (v1 & v2) through a Model Context Protocol server.

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Line Bot

Integrates the LINE Messaging API to connect an AI Agent to a LINE Official Account.

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Daft

Find rental properties on daft.ie using an MCP client.

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Mns

Manages Alibaba Cloud Message Service (MNS) queues and messages.

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Browser Use

Automates browser tasks using natural language commands.

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Ad-Veritas TrueRAG

Implements a Model Context Protocol (MCP) server for accessing policies via a GraphQL API.

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Basin

Ensures code quality and reliability in AI code editors by testing for bugs, hallucinations, and unintended changes after code generation.

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Python Template

Provides a minimal template for creating Model Context Protocol (MCP) servers using the Python SDK.

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Api Service

Enables interaction with system APIs using the Model Context Protocol (MCP).

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Geo Location

Retrieves user geolocation information for use with large language models.

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Kabra

Enables LLMs to interact with external tools and inject context using the Model Context Protocol (MCP).

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