API Development MCP Servers

AllBeAPI

Exposes any Python library as a Model Context Protocol (MCP) server, enabling Large Language Models to execute local code and interact with system resources.

NATS

Enables AI agents to interact with the NATS messaging system through the NATS CLI.

Olostep

Enables web scraping, content extraction, and Google search with structured data.

Solx402

Provides an x402 server implementation for the Solana blockchain.

UMCP

Implements the MCP protocol server-side, facilitating AI integration within Unity projects.

Seat Booking Agent

Automates airline seat reservations through intelligent agent interactions.

Zulip

Enables AI assistants to interact with Zulip workspaces through a model context protocol server.

GeneOntology

Provides AI systems with robust access to Gene Ontology (GO) data for ontology-based analysis, gene annotation research, and functional enrichment studies.

Stape

Enables interaction with the Stape API using AI assistants and AI-powered IDEs.

LiteLLM

Handles text completions using OpenAI models via integration with LiteLLM.

Cort

Improves AI reasoning by enabling it to recursively argue with itself through a Chain-of-Recursive-Thoughts process.

Solana

Provides an interface for interacting with Solana blockchain data and models via a Python-based server implementing the Model Context Protocol.

Qlik

Integrates AI assistants with Qlik Sense applications, providing comprehensive access to detailed Qlik data through a Model Context Protocol server.

Quanmiao Hotnews

Aggregates and delivers real-time hot news information using the Aliyun Bailian API.

Bernerspace

Provides a unified Multi-Component Protocol (MCP) server for managing all OAuth-enabled third-party integrations.

Intercom

Enables querying and analysis of Intercom conversations within LLM-powered workflows.

MCP Servers

Centralizes configurations and scripts for Model Context Protocol servers to integrate external tools with language models.

Mcp2tcp

Connect TCP devices to Large Language Models via the Model Context Protocol (MCP), enabling natural language control of hardware.

OP.GG Esports

Connects AI agents to OP.GG Esports data, enabling retrieval of League of Legends match schedules and information.

PagerDuty

Exposes PagerDuty API functionality for use by Large Language Models.