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De-duplicate and clean Perseus entry; remove Mimir (covered by #8494)
Mimir is already listed in PR #8494, so remove its line here. Drop the stale duplicate tcconnally/perseus entry and update the canonical Perseus-Computing-LLC/perseus description to current facts. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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tcconnally
@@ -1163,7 +1163,7 @@ Tools and integrations that enhance the development workflow and environment man
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- [paladini/devutils-mcp-server](https://github.com/paladini/devutils-mcp-server) [](https://glama.ai/mcp/servers/paladini/devutils-mcp-server) 📇 🏠 🍎 🪟 🐧 - 36 zero-auth developer utilities: MD5/SHA/bcrypt hashing, Base64/hex/URL encoding, UUID/password/passphrase generation, JWT decoding, JSON/YAML/XML formatting, timestamp conversion, CIDR calculator, and text tools.
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- [paracetamol951/P-Link-MCP](https://github.com/paracetamol951/P-Link-MCP) 🏠 🐧 🍎 ☁️ - Implementation of HTTP 402 (payment required http code) relying on Solana
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- [mcpware/pagecast](https://github.com/mcpware/pagecast) [](https://glama.ai/mcp/servers/mcpware/pagecast) 📇 🏠 - Record any browser page as GIF or video. AI-driven demo recording with scroll/click/hover interactions via Playwright + ffmpeg. `npx @mcpware/pagecast`
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- [Perseus-Computing-LLC/perseus](https://github.com/Perseus-Computing-LLC/perseus) [](https://glama.ai/mcp/servers/Perseus-Computing-LLC/perseus) 🐍 🏠 🍎 🪟 🐧 - Local-first live context engine and MCP server that assembles current project context for agents. MIT, PyPI: perseus-ctx.
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- [Perseus-Computing-LLC/perseus](https://github.com/Perseus-Computing-LLC/perseus) [](https://glama.ai/mcp/servers/Perseus-Computing-LLC/perseus) 🐍 🏠 🍎 🪟 🐧 - Local-first live context engine and MCP server. Pre-resolves git, services, tests, and memory into a ready context briefing at session start (compile-before-context). MIT, PyPI: perseus-ctx.
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- [Pharaoh-so/pharaoh](https://github.com/0xUXDesign/pharaoh-mcp) [](https://glama.ai/mcp/servers/@Pharaoh-so/pharaoh) 📇 ☁️ 🍎 🪟 🐧 - Hosted MCP server that parses TypeScript and Python codebases into Neo4j knowledge graphs for blast radius analysis, dead code detection, dependency tracing, and architectural context.
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- [picahq/mcp](https://github.com/picahq/mcp) 🎖️ 🦀 📇 ☁️ - One MCP for all your integrations — powered by [Pica](https://www.picaos.com), the infrastructure for intelligent, collaborative agents.
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- [pipepie/pipepie](https://github.com/pipepie/pipepie) [](https://glama.ai/mcp/servers/pipepie/pipepie) 🏎️ 🏠 - Self-hosted webhook relay and tunnel with Noise NK encryption. 13 MCP tools to inspect requests, replay webhooks, trace AI pipelines, connect/disconnect tunnels, and manage subdomains. No tokens or passwords — the cryptographic handshake is the auth.
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@@ -1291,7 +1291,6 @@ Tools and integrations that enhance the development workflow and environment man
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- [NazarKalytiuk/tarn](https://github.com/NazarKalytiuk/tarn) [](https://glama.ai/mcp/servers/NazarKalytiuk/tarn) 🦀 🏠 🍎 🪟 🐧 - CLI-first API testing tool with structured JSON failures (`failure_category`, `error_code`, `hints`) so AI agents can branch on the taxonomy without parsing stderr. MCP tools: `tarn_run`, `tarn_validate`, `tarn_fix_plan`, `tarn_inspect`, `tarn_rerun_failed`, and more. Tests are `.tarn.yaml`. Single static binary (musl), MIT.
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- [tooluse-labs/perfetto-mcp-rs](https://github.com/tooluse-labs/perfetto-mcp-rs) [](https://glama.ai/mcp/servers/tooluse-labs/perfetto-mcp-rs) 🦀 🏠 🍎 🪟 🐧 - MCP server for [Perfetto](https://perfetto.dev) trace analysis. Runs PerfettoSQL queries on `.perfetto-trace` / `.pftrace` files via auto-downloaded `trace_processor_shell`, with dedicated Chrome tools for page loads, scroll jank, main-thread hotspots, and stdlib module discovery. Cross-client tested on Claude Code and Codex. Available via `cargo install`, Homebrew tap, and curl install script.
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- [mshegolev/jaeger-mcp](https://github.com/mshegolev/jaeger-mcp) [](https://glama.ai/mcp/servers/mshegolev/jaeger-mcp) 🐍 ☁️ 🏠 – Jaeger distributed tracing MCP. 5 tools: list_services, list_operations, search_traces, get_trace, get_dependencies. Any Jaeger instance (HTTP API v3); PyPI + MCP Registry.
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- [tcconnally/perseus](https://github.com/tcconnally/perseus) [](https://glama.ai/mcp/servers/tcconnally/perseus) 🐍 - Compile-before-context MCP server with 13 tools. Pre-resolves workspace state (git, services, file ops, memory federation, multi-agent coordination) into markdown briefings. Single-file Python, MIT. Published as io.github.tcconnally/perseus.
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- [parasxos/cpp26-adapter](https://github.com/parasxos/cpp26-adapter) [](https://glama.ai/mcp/servers/parasxos/cpp26-adapter) 🐍 🏠 🍎 🪟 🐧 - C++26 paper reference MCP (`cpp26-ref`) backing a Claude Code plugin: `lookup_paper`, fuzzy `search`, `compiler_status` over a 216-paper ISO/IEC 14882:2026 corpus. The plugin's skill + reviewer subagent use these tools to bias Claude toward reflection, contracts, `std::execution` senders, `#embed`, expansion statements — even when the local compiler lags. 95% on a held 39-task eval gate.
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- [graphpilot-oss/graphpilot](https://github.com/graphpilot-oss/graphpilot) [](https://glama.ai/mcp/servers/graphpilot-oss/graphpilot) 📇 🏠 🍎 🪟 🐧 - Structural memory for coding agents. Indexes TypeScript/JavaScript repos and exposes callers, callees, blast-radius impact, and symbol locations over MCP — with file:line@sha evidence anchors and branch-aware differential impact — so agents answer "who calls X?" / "what breaks if I change X?" without re-reading files. Local-only, zero telemetry, Apache-2.0. `npx @graphpilot-oss/graphpilot mcp`
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@@ -2055,7 +2054,6 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [pathrule/mcp](https://github.com/pathrule/mcp) [](https://glama.ai/mcp/servers/pathrule/mcp) 📇 ☁️ - AI coding context for Claude Code, Cursor, and Codex. Path-scoped team memories, rules, and skills from Pathrule Web workspaces via OAuth. `https://mcp.pathrule.io/mcp`
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- [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.
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- [penfieldlabs/penfield-mcp](https://github.com/penfieldlabs/penfield-mcp) [](https://glama.ai/mcp/servers/penfieldlabs/penfield-mcp) 🐍 ☁️ - - 🐍 ☁️ - Penfield: persistent memory with hybrid search (BM25 + vector + graph), 24 relationship types for knowledge graphs, context checkpoints for cognitive handoff, artifact storage, and personality system. Works across Claude, Cursor, Windsurf, and any MCP client.
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- [Perseus-Computing-LLC/mimir](https://github.com/Perseus-Computing-LLC/mimir) [](https://glama.ai/mcp/servers/Perseus-Computing-LLC/mimir) 🦀 🏠 🍎 🪟 🐧 - Local-first MCP memory server with 43 tools over SQLite, FTS5 and vector search, AES-256-GCM encryption, single Rust binary (GHCR + GitHub releases).
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- [peterbeck111/knowledgelib-io](https://github.com/peterbeck111/knowledgelib-io) [](https://glama.ai/mcp/servers/peterbeck111/knowledgelib-io) 📇 ☁️ - Search 1,500+ pre-verified, cited knowledge units across 16 domains. 6 tools: query, batch query, get unit, list domains, suggest topics, report issues. Confidence scores, source provenance, and freshness tracking. Free, no API key required.
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- [pfillion42/memviz](https://github.com/pfillion42/memviz) 📇 🏠 🍎 🪟 🐧 - Visual explorer for [MCP Memory Service](https://github.com/doobidoo/mcp-memory-service) SQLite-vec databases. Browse, search, filter, edit memories with dashboard, timeline, UMAP projection, semantic clustering, duplicate detection, and association graph.
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- [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
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