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Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.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)
Living technical memory for AI agents: recall approved project context, record what was learned.
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.
SOLUCORTEX_API_KEY, SOLUCORTEX_PROJECT_ID, Authorization, X-Solucortex-ProjectValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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Pick your app above. We remember it, so next time the button says “Install 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.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"solucortex": {
"command": "uvx",
"args": [
"solucortex-mcp"
],
"env": {
"SOLUCORTEX_API_KEY": "your-value",
"SOLUCORTEX_PROJECT_ID": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http solucortex https://mcp.solucortex.ai/mcp --header 'Authorization: your-value' --header 'X-Solucortex-Project: your-value'claude mcp add solucortex --env SOLUCORTEX_API_KEY=your-value --env SOLUCORTEX_PROJECT_ID=your-value -- uvx solucortex-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"solucortex": {
"url": "https://mcp.solucortex.ai/mcp",
"headers": {
"Authorization": "your-value",
"X-Solucortex-Project": "your-value"
}
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"solucortex": {
"command": "uvx",
"args": [
"solucortex-mcp"
],
"env": {
"SOLUCORTEX_API_KEY": "your-value",
"SOLUCORTEX_PROJECT_ID": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"solucortex": {
"type": "http",
"url": "https://mcp.solucortex.ai/mcp",
"headers": {
"Authorization": "your-value",
"X-Solucortex-Project": "your-value"
}
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"solucortex": {
"type": "stdio",
"command": "uvx",
"args": [
"solucortex-mcp"
],
"env": {
"SOLUCORTEX_API_KEY": "your-value",
"SOLUCORTEX_PROJECT_ID": "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.
SOLUCORTEX_PROJECT_ID envAuthorization secret required HTTP headerX-Solucortex-Project 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 7, 2026
The registry name was verified with the GitHub account soluai-spa, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
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: SOLUCORTEX_API_KEY, Authorization
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.1.2) 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.
Official Model Context Protocol server for [SoluCortex](https://solucortex.ai) — living technical memory for AI agents.
Connect any MCP-compatible agent (Claude Code, Claude Desktop, Cursor, Codex, Cline, …) to your SoluCortex project so it can recall the decisions, conventions, risks and architecture that matter before it works, and remember what it learns when it's done.
Website: solucortex.ai · Setup guide: solucortex.ai/docs/mcp · Tools reference: solucortex.ai/docs/mcp-tools · PyPI: solucortex-mcp · MCP Registry: io.github.soluai-spa/solucortex-mcp
| Tool | What it does | When to use |
|---|---|---|
solucortex_recall | Builds living context for a task (ranked by semantic similarity + importance) | At the start of a task, before touching code |
solucortex_search | Ad-hoc semantic search over the project's memories | Specific questions mid-task |
solucortex_remember | Records a memory (stored approved + traced as an authorized agent) | At close, or on a relevant technical decision |
solucortex_update_memory | Corrects an existing memory — the edit returns it to pending for human re-approval in the panel | When a memory is right in spirit but wrong in detail |
solucortex_flag_memory | Flags a memory as outdated/incorrect with a reason; a human resolves it in the panel | When a memory should be reviewed, archived or deleted |
solucortex_list_memories | Lists memories without semantic search | Quick inspection / audit |
Governance by design: agents propose, humans govern. Agents can never change a
memory's
status, rewrite its metadata, or delete it — edits go back to pending and
deletions only happen from the SoluCortex panel.
scx_) — get it from your SoluCortex dashboard.uv (recommended), Python ≥ 3.10, or Docker.The server is configured entirely through environment variables:
| Variable | Required | Description |
|---|---|---|
SOLUCORTEX_API_KEY | ✅ | Project API key (scx_…) |
SOLUCORTEX_PROJECT_ID | optional | Default project UUID; if omitted, the backend infers it from the API key |
SOLUCORTEX_URL | optional | API base URL. Default https://solucortex.ai |
Run with MCP_TRANSPORT=http (or --http) to serve Streamable HTTP on $PORT (default 8080) — the mode behind https://mcp.solucortex.ai. Credentials travel with each request and the environment is ignored:
| Header | Required | Description |
|---|---|---|
Authorization: Bearer scx_… | ✅ | The caller's project API key (401 without it) |
X-Solucortex-Project | optional | Default project UUID; if omitted, the backend infers it from the API key |
GET /health (and /healthz locally; Cloud Run's frontend intercepts /healthz) responds without auth. The MCP endpoint is /mcp, runs stateless, and shares nothing between requests/tenants.
Never commit your API key. Keep it in your MCP client config's env block or a local .env (see .env.example).
The hosted server at https://mcp.solucortex.ai/mcp speaks Streamable HTTP; your key travels with each request:
claude mcp add --transport http solucortex https://mcp.solucortex.ai/mcp \
--header "Authorization: Bearer scx_xxx" \ --header "X-Solucortex-Project: your-project-uuid"
Or in any client with remote MCP support:
{
"mcpServers": { "solucortex": { "type": "http", "url": "https://mcp.solucortex.ai/mcp", "headers": { "Authorization": "Bearer scx_xxx", "X-Solucortex-Project": "your-project-uuid" } } } }
claude mcp add solucortex \
-e SOLUCORTEX_API_KEY=scx_xxx \ -e SOLUCORTEX_PROJECT_ID=your-project-uuid \ -- uvx solucortex-mcp
Add to the client's MCP config (claude_desktop_config.json, Cursor mcp.json, etc.):
{
"mcpServers": { "solucortex": { "command": "uvx", "args": ["solucortex-mcp"], "env": { "SOLUCORTEX_API_KEY": "scx_xxx", "SOLUCORTEX_PROJECT_ID": "your-project-uuid" } } } }
git clone https://github.com/soluai-spa/solucortex-mcp
cd solucortex-mcp cp .env.example .env # fill in your key ./run.sh # loads .env, then runs via uv
Prebuilt image on GHCR:
docker run --rm -i \
-e SOLUCORTEX_API_KEY=scx_xxx \ ghcr.io/soluai-spa/solucortex-mcp:latest
Or build it yourself:
docker build -t solucortex-mcp .
docker run --rm -i \ -e SOLUCORTEX_API_KEY=scx_xxx \ -e SOLUCORTEX_PROJECT_ID=your-project-uuid \ solucortex-mcp
The server speaks MCP over stdio, so clients launch it as a subprocess (-i keeps stdin open).
Once connected, give your agent the methodology too: copy templates/AGENTS.md into the root of your repo (it works as AGENTS.md or CLAUDE.md). The MCP handshake already carries these instructions — the file lets you version them alongside your code, extend them with your own conventions, and optionally enable the commented Claude Code hook recipe for guaranteed recall.
uv sync
uv run solucortex-mcp # run (stdio) MCP_TRANSPORT=http uv run solucortex-mcp # run (HTTP on :8080) uv run pytest # test suite npx @modelcontextprotocol/inspector uv run solucortex-mcp # interactive test
type vocabulary: the canonical set is architecture, decision, risk, convention, bug_history, tech_debt, sensitive_module, learning, external_integration. Some backends accept an older set (technical_decision, historical_bug, current_state, task_closure). The server passes type through and surfaces HTTP 422 so you can retry with the other set.MIT — see LICENSE.