API Development MCP Servers

Brave Search

Integrates Brave Search with AI assistants through a Model Context Protocol (MCP) server.

Ramp

Enables retrieval and analysis of Ramp data for LLM integration via a Model Context Protocol server.

Salesforce

Integrates Claude with Salesforce, enabling natural language interactions with your data and metadata.

CrewAI Adapter

Extends CrewAI with Model Context Protocol (MCP) integration for custom agent and tool development.

Jos

Provides Model Context Protocol (MCP) servers based on the MCP Template for accessing documentation.

Code Checker

Enables AI assistants to perform code quality checks, suggest improvements, and automate debugging workflows.

Zoom

Leverages AI to facilitate interactions within Zoom meetings.

Kakao Map Place Recommender

Recommends location-based places within South Korea using the Kakao Map API.

Wikipedia

Enables language models to search and retrieve Wikipedia articles programmatically.

Restaurant Booking

Finds and recommends restaurants with AI-powered filtering for cuisine, mood, and event type, integrating with Google Maps to provide booking assistance.

AlsoAsked

Accesses Google's 'People Also Ask' data for SEO research and content optimization via a Model Context Protocol (MCP) server.

IP2Location.io

Retrieves geolocation information for IP addresses using the IP2Location.io API.

Enrichr

Performs gene set enrichment analysis using the Enrichr API within a Model Context Protocol server.

Remy

Provides programmatic access to Israeli Land Authority (רמ״י) public tender data.

Aptos

Automates interactions with the Aptos Build platform for managing API keys and other build-related actions.

Metaso

Provides an AI search engine server for diverse information retrieval and content parsing, integrating seamlessly with Model Context Protocol clients.

VARRD

Provides a statistically validated framework for discovering and backtesting trading strategies, mitigating common quantitative research biases.

Resonant Mind

Provides persistent cognitive infrastructure for AI systems, offering semantic memory, emotional processing, and identity continuity.

Llmqore

Provides a comprehensive Qt/C++ library for interacting with cloud and local LLM providers, building Model Context Protocol (MCP) servers, and connecting to MCP clients.

Contextcore

Indexes local files and codebases with hybrid search (BM25 + embeddings) to retrieve only relevant content for AI tools, enabling significant token savings.