Skip to main content
Glama
61,762 servers. Last updated

Matching MCP tools:

Matching MCP Connectors:

"Information about .NET framework and development tools" matching MCP servers:

  • A
    license
    -
    quality
    C
    maintenance
    MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
    Last updated
    MIT
  • A
    license
    -
    quality
    -
    maintenance
    Enables semantic search across Apple Mail, Messages, Calendar, and Contacts on macOS using natural language queries. All processing happens locally with privacy-first vector indexing for fast similarity search.
    Last updated
  • A
    license
    B
    quality
    D
    maintenance
    Enables Claude to interact with core AWS services like S3, EC2, RDS, and CloudWatch, along with a generic SDK wrapper for any AWS operation. It also supports cost monitoring and optional vector store capabilities for document ingestion and search.
    Last updated
    10
    3
    The Unlicense
  • A
    license
    A
    quality
    C
    maintenance
    Self-hosted knowledge backend for AI agents. Provides 11 MCP tools for hybrid vector + keyword search, container-isolated knowledge bases, and 4 storage connectors (S3, Azure Blob, MinIO, filesystem). Built with .NET, runs via Docker.
    Last updated
    11
    15
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    An MCP server that provides AI assistants with access to Multi Theft Auto: San Andreas function documentation through vector similarity search and smart keyword expansion. It enables efficient information retrieval with features like deprecation warnings and SQLite caching for technical documentation.
    Last updated
    11
    86
    6
    GPL 3.0
  • A
    license
    B
    quality
    D
    maintenance
    Enables Claude to store and query personal finance transactions using semantic search. Transactions are persisted in ChromaDB and JSON, allowing natural language questions about spending trends and portfolio allocations.
    Last updated
    4
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables MCP clients to remember user information, preferences, and behaviors across conversations using vector search technology. Built on Cloudflare infrastructure with persistent storage and semantic similarity matching.
    Last updated
    23
    MIT
  • A
    license
    -
    quality
    -
    maintenance
    Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
    Last updated
  • A
    license
    -
    quality
    C
    maintenance
    RAGX MCP Server enables retrieval-augmented generation with document ingestion, hybrid search, and agentic answering using Claude, exposing tools for querying, searching, and managing documents.
    Last updated
    2
    MIT
  • A
    license
    -
    quality
    C
    maintenance
    Enables AI assistants to remember user information and preferences across conversations using vector search technology. Built on Cloudflare infrastructure with isolated user namespaces for secure, persistent memory storage.
    Last updated
    23
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    A lightweight server that provides persistent memory and context management for AI assistants using local vector storage and database, enabling efficient storage and retrieval of contextual information through semantic search and indexed retrieval.
    Last updated
    2
    MIT
  • A
    license
    -
    quality
    D
    maintenance
    Provides advanced document search and processing capabilities through vector stores, including PDF processing, semantic search, web search integration, and file operations. Enables users to create searchable document collections and retrieve relevant information using natural language queries.
    Last updated
    MIT