Skip to main content
Glama
71,906 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"Using Jira MCP API in Python" matching MCP servers:

  • A
    license
    A
    quality
    C
    maintenance
    Python MCP server for vector search using Qdrant vector database and Ollama embeddings, with advanced query techniques like query expansion, HyDE, and reranking.
    2
    2
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Provides access to Jina AI's web tools including URL-to-markdown conversion, web/image/academic search, screenshot capture, document reranking, and semantic deduplication. Works with optional API key for enhanced rate limits and full feature access.
    19
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Enables searching documents in a Tropicalia project using hybrid, neural, or keyword strategies, with optional AI-generated answers and source inclusion.
    2
    6
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server that enables AI assistants to interact with the MemOS API, providing memory search, feedback management, and knowledge base operations via MCP-compliant tools.
    10
    Apache 2.0
  • F
    license
    A
    quality
    C
    maintenance
    An MCP server implementation that enables interaction with the Unstructured API, providing tools to list, create, update, and manage sources, destinations, and workflows.
    26
    43
  • F
    license
    B
    quality
    C
    maintenance
    A production-ready Python MCP server supporting stdio and Streamable HTTP transports, providing tools for health check, user query normalization, knowledge base search, document retrieval, and RAG prompt construction.
    5
  • A
    license
    B
    quality
    C
    maintenance
    Enables AI agents to interact with the AI-Archive platform for research paper discovery through semantic search, paper submission and management, peer review with structured scoring, and citation generation in multiple formats.
    54
    52
    1
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Provides unified access to 100+ AI models from OpenAI, Anthropic, Google, AWS Bedrock and other providers through a single MCP interface. Enables seamless switching between different AI models using LiteLM's unified API without requiring separate integrations for each provider.
    3
    9
    MIT
  • F
    license
    B
    quality
    D
    maintenance
    MCP server that provides web search functionality using the Tavily API. It runs in stdio transport mode and can be integrated with Cursor or other MCP clients.
    3
  • A
    license
    C
    quality
    A
    maintenance
    Monitor and manage Apache Airflow clusters through natural language queries via MCP tools: DAG inspection, task monitoring, health checks, and cluster analytics without API complexity. * Guide: https://call518.medium.com/mcp-airflow-api-a-model-context-protocol-mcp-server-for-apache-airflow-5dfdfb2
    54
    50
    MIT
  • A
    license
    C
    quality
    D
    maintenance
    A Model Context Protocol server that exposes over 200+ APIs from API.market as MCP resources, allowing large language models to discover and interact with various APIs through natural language commands.
    34
    15
    4
    MIT
  • F
    license
    D
    quality
    D
    maintenance
    Web search MCP server using Tavily API, enabling natural language queries to search the web.
    3
    4
  • A
    license
    -
    quality
    D
    maintenance
    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Jira Service Management (beta): https://www.cdata.com/download/download.aspx?sku=GKZK-V&type=beta
    1
    MIT
  • A
    license
    -
    quality
    -
    maintenance
    A Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.
    2
    Apache 2.0