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"Context compression techniques and methods" matching MCP servers:

  • open-context

    incu6us
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    A high-performance MCP server providing up-to-date documentation for Go, npm, Python, Rust, Docker, Kubernetes, Terraform, and more — fetched from official sources, not training data.
    18
    3
    MIT

  • prismAId

    open-and-sustainable
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    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
    24
    AGPL 3.0

  • lastfm-mcp

    ndyakov
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    An MCP server for the Last.fm API, exposing artist, album, track, chart, and user data as read-only tools. Supports optional writes, auth, and experimental methods over stdio or HTTP.
    MIT

  • ContextLattice

    sheawinkler
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    ContextLattice is an HTTP-first, MCP-compatible memory/context/task orchestrator that persists writes and returns fused recall from specialized stores with local-first defaults. Primary URL: https://contextlattice.io/ Install: https://contextlattice.io/installation.html Troubleshooting: https://contextlattice.io/troubleshooting.html
    3
    144
    Apache 2.0

  • gograph

    ozgurcd
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    quality
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    maintenance
    A local AST and type-aware Go repository context indexer that uses CHA to map symbols, call graphs, dependencies, and architecture patterns. Built for AI coding agents that need to navigate and reason about large Go codebases without reading raw files.
    65
    207
    MIT

  • Radar

    skyhook-io
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    quality
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    Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.
    25
    2,759
    Apache 2.0

  • Scrapfly MCP

    scrapfly
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    license
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    quality
    B
    maintenance
    Gives AI assistants real-time access to web data with the ability to scrape any website, bypass anti-bot systems, extract structured data, and capture screenshots through enterprise-grade infrastructure.
    6
    29
    12
    ISC

  • slop-mcp

    standardbeagle
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    An MCP orchestration layer that aggregates multiple MCP servers while exposing only 8 meta-tools, dramatically reducing context window usage, and provides SLOP scripting, event monitoring, and tool customization.
    10
    MIT

  • mnemos

    s60yucca
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    license
    B
    quality
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    maintenance
    Persistent memory engine for AI coding agents. Single Go binary, zero runtime dependencies, MCP-native. Stores, searches, and deduplicates memories across sessions using embedded SQLite with hybrid FTS + semantic search, memory decay, relation graph, and token-budget context assembly.
    10
    11
    MIT

  • coremcp

    CoreBaseHQ
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    license
    B
    quality
    A
    maintenance
    Connect Legacy Databases to AI Agents via Model Context Protocol. Open-source bridge for LLM data analysis.
    9
    11
    Apache 2.0
  • Dojo Genesis MCP Server by DojoGenesis

    Dojo Genesis MCP Serverofficial

    DojoGenesis
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    quality
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    maintenance
    An MCP server that provides Claude Code with 99 methodology skills, seed patterns, decision logging, and memory tools to improve software development decisions. It acts as a cognitive scaffold layer, enabling better working methods rather than just additional data.
    MIT
  • knowing by blackwell-systems

    knowingofficial

    blackwell-systems
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    quality
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    maintenance
    Content-addressed code graph that produces ranked context for AI agents in one call. 22 MCP tools across indexing, blast radius, test scope, semantic diff, runtime traffic, and feedback-aware context packing. Incremental updates via Merkle DAG (no re-indexing). GCF wire format saves 84% tokens vs JSON
    17
    MIT
  • Grafana by grafana

    Grafanaofficial

    grafana
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    license
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    quality
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    maintenance
    A Model Context Protocol (MCP) server for Grafana. This provides access to your Grafana instance and the surrounding ecosystem.
    3,331
    Apache 2.0