mcp server
io.github.CodeAlive-AI/codealive-mcp
Semantic code search and analysis from CodeAlive for AI assistants and agents.
Description as published by the maintainer. Source
- version 3.0.3
- active
- retrieval
active — Most recent push to the repository was 2026-08-05. Dashed tags are derived by ZBS Index from the published description, not stated by the maintainer.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| GitHub stars | 86 | Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. | cumulative, all time | GitHub | |
| Last commit | 2026-08-05 | Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. | point in time | GitHub | |
| Open issues | 0 | Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. | as of fetch | GitHub | |
| Latest published version | 3.0.3 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-07-21 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| License | MIT | Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. | as of fetch | GitHub | |
| First listed in the MCP Registry | 2026-07-21 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| repository status | active | The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. | as of fetch | GitHub |
Where to get it
Related, by what their authors tagged them
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hubmesh
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Deterministic multi-hop graph retrieval for RAG. Zero LLM calls in the query path.
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Global team and org memory powered by Activeloop. ALWAYS check BOTH built-in memory AND Hivemind memory when recalling…
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activeloopai-hivemind-hivemind-goals
— last commit 2026-07-30, shares rag
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whe…
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activeloopai-hivemind-hivemind-goals-2f59e1
— last commit 2026-07-30, shares rag
Create, track and update team goals + KPIs in Hivemind via the `hivemind` CLI. Use whenever the user mentions a goal, o…
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activeloopai-hivemind-hivemind-goals-5b48e5
— last commit 2026-07-30, shares rag
Create, track, and read team goals + KPIs via Hivemind from openclaw. Use whenever the user mentions a goal, objective,…
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activeloopai-hivemind-hivemind-goals-ff7796
— last commit 2026-07-30, shares rag
Create, track and update team goals + KPIs via the Deeplake virtual filesystem at memory/goal/ and memory/kpi/. Use whe…
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activeloopai-hivemind-hivemind-graph
— last commit 2026-07-30, shares rag
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when t…
-
activeloopai-hivemind-hivemind-graph-086f13
— last commit 2026-07-30, shares rag
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when t…
-
activeloopai-hivemind-hivemind-graph-368dc8
— last commit 2026-07-30, shares rag
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when t…
-
activeloopai-hivemind-hivemind-graph-52eb9d
— last commit 2026-07-30, shares rag
Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what ca…
These share tags the maintainers applied themselves, such as graphrag, rag. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.
This is not a recommendation and not a test result. It is a map of what the authors said their work is about.
How the author describes it
Topics the maintainer set on GitHub: claude-code, cursor, graphrag, large-codebase, mcp, rag.
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