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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
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.
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Works in Claude on the web, desktop and mobile:
https://projectstate.online/mcpRun this in your terminal
claude mcp add --transport http projectstate https://projectstate.online/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"projectstate": {
"url": "https://projectstate.online/mcp"
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"projectstate": {
"type": "http",
"url": "https://projectstate.online/mcp"
}
}
}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.
ChatGPT connects only to servers on the internet:
https://projectstate.online/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
These 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 7, 2026
The registry name was verified against the domain projectstate.online (the registry checks domain ownership)
We have not read this repo from GitHub yet
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Not checked yet; we check endpoints in rotation
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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.
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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 (0.3.0) reached the registry 2 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.
Persistent project memory for AI agents, paid per call in USDC over [x402](https://x402.org). No account, no API key.
https://projectstate.online/mcp — an MCP server (Streamable HTTP) that remembers, per project, *what was decided, what was tried and failed, and what is still open*, and hands an agent back the three facts it needs instead of the whole history.
Every agent already has "memory". What it does not have is project state that survives across tools and sessions: Claude Code, Cursor, a CI agent and a script all working on the same repo, sharing one ranked, compact record of decisions and dead ends. That is what this is. Retrieval is the point: recall returns at most a few lines inside a character budget, ranked so superseded decisions sink and active ones float.
| Tool | Does | Price |
|---|---|---|
project_open(project, name?, description?) | open/create a project; returns a brief: status, open tasks, latest decisions, failed attempts | $0.002 |
project_status(project, set_status?) | read or set the one-line status (hand-off note between sessions) | $0.002 |
remember(project, kind, title, body?, tags?, files?, status?, supersedes?, idempotency_key?) | store a decision, attempt, task or note | $0.002 |
recall(project, query?, kind?, status?, tags?, files?, limit=5, max_chars=1500) | ranked keyword search, trimmed to a budget | $0.005 |
plan_check(project, intent, files?, limit=3, max_chars=1200) | say what you are about to do; get back the failed attempts, binding decisions and overlapping tasks that would change the plan | $0.010 |
update(project, id, status?, title?, body?, append?, tags?, files?, delete?) | close tasks, mark attempts, supersede decisions | $0.002 |
Failed calls are free. Identical retries (or any call with the same idempotency_key) are never billed twice. Prices are published per tool in tools/list under _meta.priceUsd.
The tool to call before starting something non-trivial:
plan_check(project="my-app", intent="switch the session cache to Redis", files=["src/cache.py"])
Plan check for 'my-app': 'switch the session cache to Redis' Prior failures (1): #8 attempt/failed (2026-09-12): Tried Redis for the session cache — connection pool exhausted under load Active decisions that constrain this (1): #9 decision/active (2026-09-12): Cache with SQLite instead of Redis — one less service to run Open tasks that overlap (1): #10 task/open (2026-09-12): Benchmark the cache options
Three targeted searches in one call, returning only what would change the plan. A clean plan answers "Nothing on record matches this plan" so the agent can proceed without a second lookup.
isError: true with an x402 v2 PaymentRequired in structuredContent (scheme exact, USDC on Base, the amount, the pay-to address)._meta["x402/payment"]._meta["x402/payment-response"] and a credit token in _meta["projectstate/x402-credit"].Authorization: Bearer xc_…. Unused credit stays on your wallet address.Works with any x402-capable client: x402-mcp (withPayment()) for the Vercel AI SDK, the x402 Python package, or the 30-line handshake in scripts/x402_agent_demo.py.
from eth_account import Account
from mcp import Client from x402 import x402Client from x402.mechanisms.evm.exact import register_exact_evm_client from x402.mechanisms.evm.signers import EthAccountSigner from x402.schemas import PaymentRequired
x = x402Client(); register_exact_evm_client(x, EthAccountSigner(Account.from_key(KEY))) async with Client("https://projectstate.online/mcp") as mcp: r = await mcp.call_tool("project_open", {"project": "my-app"}) # -> PaymentRequired pay = (await x.create_payment_payload(PaymentRequired(**r.structured_content))).model_dump(by_alias=True, exclude_none=True) r = await mcp.call_tool("project_open", {"project": "my-app"}, meta={"x402/payment": pay}) token = r.meta["projectstate/x402-credit"] # reuse on later calls
Python 3.12, the official MCP Python SDK (v2), SQLite + FTS5 (bm25, no vectors), the official x402 package against the Coinbase facilitator on Base mainnet. One process, one SQLite file, an admin dashboard with per-tool latency, error messages, a full audit ledger and a retrieval-quality meter (zero-hit and re-query rates) that says when keyword search stops being enough.
Docs: https://projectstate.online/docs · Registry: online.projectstate/projectstate · License: MIT
deploy/install.sh sets up systemd, nginx, fail2ban, hourly SQLite backups and unattended upgrades on a small Ubuntu VPS; deploy/env.example lists every setting; deploy/x402_live_setup.sh switches the x402 rail to Base mainnet with Coinbase CDP keys. pytest tests/ runs 33 tests including a mock x402 facilitator that verifies real EIP-712 signatures.