MCP.Market

Snipara Project Intelligence MCP server

by Snipara·io.github.Snipara/snipara·v1.0.0

Hosted MCP for source-backed project context, memory, code impact, and agent workflow continuity.

A90/100grade A
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Safety scan
A90/100

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Snipara Project Intelligence tools

Tool list not cached yet. `describe` through the gateway fetches it live.

Public scan report

scanner v0.1.9 · 2026-09-25 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 569ms (auth required)20/20
  • –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
  • Auth qualityOAuth resource metadata advertised on 40115/15
  • Maintenancelast push 66 days ago12/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 90/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Snipara Project Intelligence compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
90/100
higher than 85% of 4,460 AI and agents servers

Install Snipara Project Intelligence in Claude Code, Cursor or VS Code

claude mcp add --transport http snipara https://api.snipara.com/mcp/{project_slug}
Add to Cursor

What the publisher says

From the Snipara Project Intelligence repository's README, as published. We do not edit it. Read it on GitHub

snipara-examples

Reproducible examples and evidence for Snipara Project Intelligence.

This repository keeps public integration examples, MCP discovery metadata, and benchmark evidence in one place. It is intentionally small: no customer data, private runbooks, internal ranking code, or credentials are included.

Start here

official MCP Registry.

  • server.json describes the Hosted MCP server for the

is the published official MCP Registry entry (1.0.0).

  • io.github.Snipara/snipara

path without hard-coding a project or API key.

  • examples/hosted-mcp shows the primary HTTP setup

contains the frozen June 19, 2026 context-selection evidence pack and its committed results.json.

  • benchmarks/hosted-context-2026-06

mirrors the measured summary from the public Project Intelligence proof replay, with its owned-repository and negative-control limits kept explicit.

  • proof/project-continuity-2026-07

Verify the benchmark evidence with only Python's standard library:

python3 benchmarks/hosted-context-2026-06/verify_results.py

The verifier checks the case manifest hash, case coverage, reported means, deltas, and token-reduction arithmetic. It does not claim that a live LLM run will be byte-for-byte deterministic.

Hosted MCP

Snipara is a Hosted MCP server for project intelligence and context optimization across AI agents. Each user connects a project-specific endpoint:

https://api.snipara.com/mcp/YOUR_PROJECT_SLUG

Authentication is supplied at runtime through X-API-Key or a bearer token. Never commit an API key to this repository.

What this benchmark does and does not prove

The frozen evidence pack compares focused Snipara context against the first 32,000 tokens of the same indexed documentation corpus on 12 project-context questions. It preserves case-level scores so the published aggregates can be independently recomputed.

It is one hosted run per task, not a universal model-quality guarantee. Model behavior and the live hosted index can change, so future reruns should publish a new dated evidence pack instead of rewriting the historical result.

Additional controlled proof

The Project Intelligence proof replay measures a different question: whether continuity context changes what a coding agent finds before implementation and whether continuity-heavy scenarios pass across local, Codex CLI, and Claude runtimes. It is kept separate from the hosted-context benchmark because it uses a Snipara-owned repository and does not yet include a negative control where cold agents should already succeed.

Related projects

deterministic Project Intelligence scoring library and CLI.

  • snipara-evals provides the

local workflow continuity and code-impact gates.

  • snipara-companion provides

standalone open-source memory engine.

  • snipara-memory provides the

MCP, Project Intelligence, integrations, and security boundaries.

  • Snipara documentation documents the Hosted

License

Apache-2.0. See LICENSE.

Nothing above is checked by us. What we check is on the safety report.

Snipara Project Intelligence: common questions

Is Snipara Project Intelligence MCP server safe?
Yes, by our scan: it is graded A (90/100). Read the Snipara Project Intelligence safety report
How do I install Snipara Project Intelligence?
It runs remotely at api.snipara.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Snipara Project Intelligence need an API key?
No key to paste: it signs you in with OAuth when your client connects.
Is Snipara Project Intelligence maintained?
The last commit was 106 days ago (2026-07-21). The latest release is v1.0.0.
What can I use instead of Snipara Project Intelligence?
Servers from other publishers that do the same job: Mnemoverse Memory MCP server, Basic Memory MCP server and IWE (iwe.md) MCP server.

Alternatives to Snipara Project Intelligence

Same job from other publishers: the closest match first, then the best rated.

  • Mnemoverse Memory
    Hosted agent memory that learns from outcomes, with shared rooms. No key: mcp.mnemoverse.com/mcp
    A
  • Basic Memory
    Local-first knowledge management with bi-directional LLM sync via Markdown files.
    B
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A
  • Memanto
    MCP server for Memanto - persistent semantic memory for any MCP-compatible agent
    A
  • SuperCompress
    Compress coding-agent context ~64%. Hosted Neural Keep MCP for Cursor/Claude/Codex.
    B