Search / ai.memcell/memcell
MemCell
R2· OAuth, onceLiving memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
v0.8.0 · active · repository · website · descriptor JSON · versions
Search / ai.memcell/memcell
R2· OAuth, onceLiving memory for AI coding agents: recall before acting, report outcomes so confidence is earned.
v0.8.0 · active · repository · website · descriptor JSON · versions
{
"mcpServers": {
"memcell": {
"type": "http",
"url": "https://memcell.ai/mcp",
"headers": {
"Authorization": "Bearer ${MEMCELL_TOKEN}"
}
}
}
}claude mcp add --transport http memcell https://memcell.ai/mcp --header "Authorization: Bearer ${MEMCELL_TOKEN}"[mcp_servers.memcell]
url = "https://memcell.ai/mcp"
bearer_token_env_var = "MEMCELL_TOKEN"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"memcell": {
"type": "remote",
"url": "https://memcell.ai/mcp",
"enabled": true,
"headers": {
"Authorization": "Bearer {env:MEMCELL_TOKEN}"
}
}
}
}{
"mcpServers": {
"memcell": {
"type": "http",
"url": "https://memcell.ai/mcp",
"headers": {
"Authorization": "Bearer ${MEMCELL_TOKEN}"
}
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=memcell&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWVtY2VsbC5haS9tY3AiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgJHtNRU1DRUxMX1RPS0VOfSJ9fQ%3D%3D"
}{
"servers": {
"memcell": {
"type": "http",
"url": "https://memcell.ai/mcp",
"headers": {
"Authorization": "Bearer ${MEMCELL_TOKEN}"
}
}
}
}{
"mcpServers": {
"memcell": {
"httpUrl": "https://memcell.ai/mcp",
"headers": {
"Authorization": "Bearer ${MEMCELL_TOKEN}"
}
}
}
}extensions:
"memcell":
enabled: true
name: "memcell"
type: streamable_http
uri: "https://memcell.ai/mcp"
headers:
"Authorization": "Bearer ${MEMCELL_TOKEN}"
timeout: 300
Placeholders to fill from your own secret store: ${MEMCELL_TOKEN}. The registry never accepts secret values.
protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)auth.prmno Protected Resource Metadata (RFC 9728); clients cannot discover the authorization serverauth.as_metadataauthorization server metadata reachableauth.cimdno way for a new client to register (neither CIMD nor DCR)auth.secret_in_urlURL variables carry no secrettools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)stability.changes, stability.rug_pulltool list unknowndeps.known_vulns1 advisory of lower severity or without a published fix: GHSA-5r4p-p66f-jhc7 in [email protected] (indirect, fixed in 4.13.11)deps.mcp_sdk_version@modelcontextprotocol/sdk 1.30.1 has 3 known advisories (GHSA-22jm-h49p-29qw, GHSA-6prh-2h8m-c8cw, GHSA-6qxp-vccf-f47h); update @modelcontextprotocol/sdk to 1.32.0 or laterdeps.resolvable[email protected] resolved: 99 packagesNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+repository +dns-namespace +website +reachable +uptime-98% ~updated-43d-ago
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
[email protected] npm98 dependencies, resolved · MCP SDK @modelcontextprotocol/sdk 1.30.1 · advisories checked 2026-10-20
| advisory | severity | package | fixed in |
|---|---|---|---|
| GHSA-22jm-h49p-29qwMCP TypeScript SDK: Experimental tasks were not tied to the session that created them | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.32.0 |
| GHSA-6qxp-vccf-f47hMCP TypeScript SDK: OAuth client could send credentials to an authorization server chosen by the MCP server | high | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.31.0 |
| GHSA-6prh-2h8m-c8cwMCP TypeScript client SDK: HTTP client transports and OAuth requests followed cross-origin redirects and re-sent custom headers and request bodies | moderate | @modelcontextprotocol/[email protected]MCP SDK, direct | fixed in 1.32.0 |
| GHSA-5r4p-p66f-jhc7Hono: `serveStatic` decodes the request path a second time, leading to bypass of middleware on static paths | moderate | [email protected]indirect | fixed in 4.13.11 |
Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://memcell.ai/mcp streamable-http | oauth2 AS: https://memcell.ai | yes | 98% | 279 ms | – | 2026-10-20 |
https://memcell.ai/mcp/public/{memory} streamable-http · templated | unknown | not probed | – | – | – | – |
| package | registry | version | runtime | secrets |
|---|---|---|---|---|
memcell | npm | 0.8.0 | npx |
No tools observed. Tools appear once a credential-free probe can list them.
Schemas: list_tools.
{
"name": "ai.memcell/memcell",
"title": "MemCell",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://memcell.ai/mcp",
"type": "streamable-http",
"headers": [
{
"name": "Authorization",
"isSecret": true,
"isRequired": true,
"description": "Bearer <agent key>. Get one with `npx memcell connect` in a project, or from https://memcell.ai/agents"
}
]
},
{
"url": "https://memcell.ai/mcp/public/{memory}",
"type": "streamable-http",
"variables": {
"memory": {
"isRequired": true,
"description": "a public memory's slug from https://memcell.ai/commons — readable without an account"
}
}
}
],
"version": "0.8.0",
"packages": [
{
"version": "0.8.0",
"transport": {
"type": "stdio"
},
"identifier": "memcell",
"runtimeHint": "npx",
"registryType": "npm",
"packageArguments": [
{
"type": "positional",
"value": "mcp",
"description": "the stdio face of the paired instance's /mcp door"
}
]
}
],
"repository": {
"url": "https://github.com/memcell-ai/cli",
"source": "github"
},
"websiteUrl": "https://memcell.ai",
"description": "Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned."
}