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Connect functions across different languages and network boundaries to AI agents.
Enables natural language interactions with Salesforce data and metadata using Claude.
Exposes REST APIs defined by OpenAPI specifications as Model Context Protocol (MCP) tools, facilitating seamless integration into MCP-based workflows.
Enables MCP clients to efficiently extract information about GitHub repositories, including summaries, directory structure, and file content.
Enables semantic search and retrieval of documentation using a vector database, allowing users to add and query documentation from URLs or local files using natural language.
Enables AI agents to understand and interact with Unity projects in real-time via the Model Context Protocol.
Enables Dify 1.0 to utilize MCP SSE for discovering and calling tools through agent strategies.
Integrates cryptocurrency exchanges via MCP (Model Context Protocol) for high-performance market data access and trading operations.
Enables interaction with CodeQL through structured commands for tools and AI agents.
Provides an interface for retrieving China stock market data based on akshare-one.
Facilitates testing and evaluation of MCP servers and agents through an open-source client.
Deploy Haystack pipelines as REST APIs and MCP Tools with ease.
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
Curates a list of Model Context Protocol (MCP) servers specifically for cryptocurrency-related applications.
Facilitates AI-driven development of Micro Control Plane (MCP) servers from Swagger/OpenAPI specifications.
Manages and aggregates multiple Model Context Protocol (MCP) servers, allowing large language models to dynamically extend their capabilities.
Transforms N8N workflows into Model Context Protocol servers, enabling their use as custom tools with AI assistants like Claude and Cursor.
Provides fast and standardized access to 1C:Enterprise platform reference information for AI assistants.
Connects large language models to the Japanese Ministry of Land, Infrastructure, Transport and Tourism (MLIT) Data Platform API, enabling intuitive, conversational data search and retrieval.
Streamline AI agent interaction with diverse tool ecosystems by collapsing numerous server-side tools into two core functions, `search` and `execute`, within a secure, sandboxed JavaScript environment.
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