Context7
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Description from the maker (original English)
Hosted MCP for source-backed project context, memory, code impact, and agent workflow continuity.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
X-API-KeyValues marked secret are keys to your account. Never share them or paste them into a chat.
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This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Run this in your terminal
claude mcp add --transport http snipara 'https://api.snipara.com/mcp/{project_slug}' --header 'X-API-Key: your-value'Fill in the empty values before running it.
The address contains {…} parts that only you know (such as your account), so copy it and fill them in.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"snipara": {
"url": "https://api.snipara.com/mcp/{project_slug}",
"headers": {
"X-API-Key": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
The address contains {…} parts that only you know (such as your account), so copy it and fill them in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"snipara": {
"type": "http",
"url": "https://api.snipara.com/mcp/{project_slug}",
"headers": {
"X-API-Key": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.
Your choice stays on this device in a cookie; no account needed.
X-API-Key secret required HTTP headerThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
We have not read this server’s tool list yet; we check endpoints in rotation.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
The registry name was verified with the GitHub account Snipara, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
The address needs your own account values, so we cannot check it for you
The address needs your own account values, so we cannot check it for you
Not checked yet; we read the tool list when we check the endpoint
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
You need to fill in: X-API-Key
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Context7, Codebase Memory, Exa
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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.
proof/checkpoint-handoff-2026-10 contains a runnable Claude-produced checkpoint scenario, one paired native Codex continuation with/without Snipara and both independently validated candidates.server.json describes the Hosted MCP server for the official MCP Registry.io.github.Snipara/snipara is the published official MCP Registry entry (1.0.0).examples/hosted-mcp shows the primary HTTP setup path without hard-coding a project or API key.benchmarks/hosted-context-2026-06 contains the frozen June 19, 2026 context-selection evidence pack and its committed results.json.proof/project-continuity-2026-07 mirrors the measured summary from the public Project Intelligence proof replay, with its owned-repository and negative-control limits kept explicit.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.
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.
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.
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.
snipara-evals provides the deterministic Project Intelligence scoring library and CLI.snipara-companion provides local workflow continuity and code-impact gates.snipara-memory provides the standalone open-source memory engine.Apache-2.0. See LICENSE.