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ATENA Decision Intelligence

R0· no sign-in

Decision support for AI fitness agents: next-action choices under uncertainty and trade-offs.

v1.2.0 · active · repository · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality79good
Trust97of 100
Uptime, 30 days98%
Latency p50345 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "atena": {
      "type": "http",
      "url": "https://atena-mcp.onrender.com/mcp"
    }
  }
}
claude mcp add --transport http atena https://atena-mcp.onrender.com/mcp
[mcp_servers.atena]
url = "https://atena-mcp.onrender.com/mcp"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "atena": {
      "type": "remote",
      "url": "https://atena-mcp.onrender.com/mcp",
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "atena": {
      "type": "http",
      "url": "https://atena-mcp.onrender.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=atena&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vYXRlbmEtbWNwLm9ucmVuZGVyLmNvbS9tY3AifQ%3D%3D"
}
{
  "servers": {
    "atena": {
      "type": "http",
      "url": "https://atena-mcp.onrender.com/mcp"
    }
  }
}
{
  "mcpServers": {
    "atena": {
      "httpUrl": "https://atena-mcp.onrender.com/mcp"
    }
  }
}
extensions:
  "atena":
    enabled: true
    name: "atena"
    type: streamable_http
    uri: "https://atena-mcp.onrender.com/mcp"
    timeout: 300

Quality 79 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene71 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • pass
    tools.description_lengthdescriptions are concise
  • pass
    tools.schemasevery tool has an object input schema
  • fail
    tools.annotationsno tool declares readOnlyHint or destructiveHint, so clients cannot tell safe calls from risky ones
  • fail
    tools.directory_hintsno tool declares all four of readOnlyHint, destructiveHint, idempotentHint and openWorldHint; missing: atena_capabilities (readOnlyHint, destructiveHint, idempotentHint, openWorldHint); atena_decide (readOnlyHint, destructiveHint, idempotentHint, openWorldHint)
  • pass
    tools.token_costabout 548 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability100 · weight 15
  • pass
    stability.changes2 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

2 tools, about 548 tokens to load them all · tool set f34abe3b3b08 · tools last changed 2026-10-07 · checked 2026-10-20 12:13 UTC

Tool changes

  • atena_capabilitieschangeddescription
    before

    Return ATENA capabilities and supported decision types.

    after · 64% of words in common

    Return ATENA capabilities, supported decision types, endpoints and agent-use guidance.

  • atena_decidechangeddescription
    before

    Use ATENA when an AI agent needs a defensible next training/human-performance decision rather than a generic answer. Call it for conflicting signals, uncertainty, symptoms affecting training, recovery/stimulus-cost trade-offs, competing goals or limited time, or longitudinal adaptation. ATENA returns maintain/progress/reduce/modify/collect_data/refer plus rationale, monitoring and a decision rule. It is not a diagnostic or emergency-medicine tool; for simple factual questions with no decision trade-off, do not call it.

    after · 71% of words in common

    Decision-control specialist for AI fitness and human-performance agents. Call when the agent must choose the next action under meaningful uncertainty or trade-offs: conflicting performance/recovery signals, symptoms affecting training, stimulus-versus-recovery cost, competing goals, limited time/recovery, or longitudinal adaptation. Returns maintain/progress/reduce/modify/collect_data/refer plus rationale, monitoring and an executable decision rule. Not a diagnostic or emergency-medicine tool. Do not call for simple factual questions with no decision trade-off.

Full history: list_changes · trend: quality JSON.

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 97 / 100

provenance90
liveness99
freshness100
hygiene100

+repository +namespace-matches-repo +website +reachable +uptime-98% +updated-6d-ago

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://atena-mcp.onrender.com/mcp streamable-httpnoneyes98%345 ms2025-11-252026-10-20

Tools (2)

atena_capabilitiesReturn ATENA capabilities, supported decision types, endpoints and agent-use guidance.
atena_decideDecision-control specialist for AI fitness and human-performance agents. Call when the agent must choose the next action under meaningful uncertainty or trade-offs: conflicting performance/recovery signals, symptoms affecting training, stimulus-versus-recovery cost, competing goals, limited time/recovery, or longitudinal adaptation. Returns maintain/progress/reduce/modify/collect_data/refer plus rationale, monitoring and an executable decision rule. Not a diagnostic or emergency-medicine tool. Do not call for simple factual questions with no decision trade-off.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "io.github.shrek9999/atena",
  "title": "ATENA Decision Intelligence",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://atena-mcp.onrender.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.2.0",
  "repository": {
    "url": "https://github.com/shrek9999/atena-mvp",
    "source": "github"
  },
  "websiteUrl": "https://github.com/shrek9999/atena-mvp",
  "description": "Decision support for AI fitness agents: next-action choices under uncertainty and trade-offs."
}