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ContextStream

R2· OAuth, once

Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP).

v0.5.35 · active · repository · website · descriptor JSON · versions

An agent can connect after a one-time OAuth consent by a human.Remote endpoint behind OAuth 2. Tokens stay with the agent; the registry only exposes the authorization metadata.
Quality100strong
Trust89of 100
Uptime, 30 days99%
Latency p50347 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "contextstream": {
      "type": "http",
      "url": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry"
    }
  }
}
claude mcp add --transport http contextstream https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry
[mcp_servers.contextstream]
url = "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "contextstream": {
      "type": "remote",
      "url": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "contextstream": {
      "type": "http",
      "url": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=contextstream&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWNwLmNvbnRleHRzdHJlYW0uaW8vbWNwP2RlZmF1bHRfY29udGV4dF9tb2RlPWZhc3Qmc3JjPXJlZ2lzdHJ5In0%3D"
}
{
  "servers": {
    "contextstream": {
      "type": "http",
      "url": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry"
    }
  }
}
{
  "mcpServers": {
    "contextstream": {
      "httpUrl": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry"
    }
  }
}
extensions:
  "contextstream":
    enabled: true
    name: "contextstream"
    type: streamable_http
    uri: "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry"
    timeout: 300

Quality 100 / 100strong

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorization100 · weight 15
  • pass
    auth.prmProtected Resource Metadata (RFC 9728) published
  • pass
    auth.as_metadataauthorization server metadata reachable
  • pass
    auth.cimdClient ID Metadata Documents supported
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.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)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

Tool list unknown · checked 2026-10-20 06:49 UTC

Tool changes

No 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.

Trust 89 / 100

duplicate-repo
provenance100
liveness100
freshness65
hygiene80

+repository +namespace-matches-repo +dns-namespace +website +reachable +uptime-99% ~updated-98d-ago -duplicate-repo(3 names)

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry streamable-httpoauth2 AS: https://api.contextstream.ioyes99%347 ms–2026-10-20

Tools (0)

No tools observed. Tools appear once a credential-free probe can list them.

Schemas: list_tools.

Also listed as

2 other active names share this repository: io.github.contextstreamio/mcp-server, io.github.contextstream/mcp-server

Similar MCP servers

Official server.json
{
  "name": "io.contextstream/mcp",
  "icons": [
    {
      "src": "https://contextstream.io/favicon.svg",
      "sizes": [
        "any"
      ],
      "mimeType": "image/svg+xml"
    },
    {
      "src": "https://contextstream.io/logo.png",
      "sizes": [
        "512x512"
      ],
      "mimeType": "image/png"
    }
  ],
  "title": "ContextStream",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://mcp.contextstream.io/mcp?default_context_mode=fast&src=registry",
      "type": "streamable-http"
    }
  ],
  "version": "0.5.35",
  "repository": {
    "url": "https://github.com/contextstream/mcp-server",
    "source": "github"
  },
  "websiteUrl": "https://contextstream.io/docs/mcp",
  "description": "Persistent memory and cross-session learning for AI coding assistants (hosted remote MCP)."
}