Agent-native API client for executing REST, GraphQL, WebSocket, SSE, and gRPC requests from MCP-capable agents, with token-efficient responses and file-based collections.
Enables MCP-compatible clients to interact with AnythingLLM, providing tools for workspace management, chat and thread operations, document operations, vector search, and system inspection.
Turns DeepSeek Harness into an MCP server with tools for session management, agent execution, resources, and OAuth, plus browser automation and GitHub/GitLab integration.
MCP server that equips AI agents with dev workflow tools including GitHub project management, conventional commits, visual regression testing, Jira/Confluence integration, and a persistent memory knowledge graph.
Provides LLM-agnostic access to API documentation through MCP and REST endpoints, enabling AI assistants to retrieve, search, and proxy requests to whitelisted APIs across multiple platforms.