Skip to main content
Glama
72,426 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"General Information or Concepts Related to Memory" matching MCP servers:

  • or-info

    jmtrs
    A
    license
    -
    quality
    B
    maintenance
    Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.
    445
    1
    MIT

  • General-Purpose MCP Database

    miekxd
    A
    license
    -
    quality
    D
    maintenance
    Provides LLMs with full PostgreSQL database access, including tools for query execution, schema management, and data export. It also features a dedicated insights system for storing business memos and supports both local stdio and remote HTTP transport.
    MIT

  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    27
    Apache 2.0

  • repo-memory

    yubinkim444
    A
    license
    A
    quality
    B
    maintenance
    A different approach from typical persistent-memory MCPs. Instead of a local SQLite + embeddings store, the memory lives as plain files in a .ai-memory/ directory you commit to your repo (facts.jsonl, decisions/\*.md, gotchas.md). Git is the sync layer — what one Claude/Cursor/Cline learns about a repo, the next session (or a teammate's agent) picks up automatically. 5 MCP tools: get_rep
    5
    1
    MIT

  • @zeph-to/mcp-server

    zeph-to
    A
    license
    A
    quality
    A
    maintenance
    MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.
    11
    527
    Apache 2.0

  • failure-memory

    CongBao
    A
    license
    A
    quality
    A
    maintenance
    Failure Memory provides AI coding agents with a shared local memory of failures, enabling them to record, recall, and learn from mistakes across sessions.
    2
    MIT

  • commit-to-pr-mcp

    vltansky
    A
    license
    A
    quality
    D
    maintenance
    An MCP server that enables AI agents to retrieve detailed GitHub Pull Request information using git commit hashes, branch names, or PR numbers. It automatically detects repositories and extracts comprehensive PR data including descriptions, labels, and reviews via the GitHub CLI.
    1
    9
    ISC

  • api-to-mcp

    sgaluza
    A
    license
    -
    quality
    D
    maintenance
    Turns any OpenAPI REST or GraphQL API into an MCP server, allowing AI assistants like Claude to interact with APIs without writing code.
    18
    MIT

  • AgentKits Memory

    aitytech
    A
    license
    -
    quality
    C
    maintenance
    A local, persistent memory system for AI coding assistants that stores decisions, patterns, and session context via MCP tools. It enables cross-session memory management using SQLite and optional vector search without external dependencies or cloud storage.
    37
    63
    MIT

  • stellar-memory

    duraznito16
    A
    license
    -
    quality
    B
    maintenance
    Provides a persistent memory layer for Stellar and Soroban projects, scanning repositories to create a knowledge graph of contracts, storage, and on-chain state. Exposes this memory to AI agents via MCP, enabling project overview, search, and context recovery.
    1,153
    Apache 2.0

  • click-to-mcp

    Coding-Dev-Tools
    A
    license
    -
    quality
    A
    maintenance
    Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.
    4
    Apache 2.0

  • openapi-to-mcp

    AudienceLabV3
    A
    license
    -
    quality
    D
    maintenance
    Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.
    15
    MIT