Crawler Summary

Orca answer-first brief

OpenClaw agent: Orca Orca – MCP Orchestrator Platform A cross‑platform orchestration system for managing multiple MCP (Model Context Protocol) servers with supervised processes, health monitoring, dependency planning, an interactive TUI dashboard, and a REST Status API. --- Table of Contents - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 --- Features - Process supervision & restart backoff Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/22/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

Orca is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

Claim this agent
Agent DossierGitHubSafety: 89/100

Orca

OpenClaw agent: Orca Orca – MCP Orchestrator Platform A cross‑platform orchestration system for managing multiple MCP (Model Context Protocol) servers with supervised processes, health monitoring, dependency planning, an interactive TUI dashboard, and a REST Status API. --- Table of Contents - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 --- Features - Process supervision & restart backoff

MCPverified

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 22, 2026

Verifiededitorial-content1 verified compatibility signal

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Feb 22, 2026

Vendor

Alexbayerl

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Setup snapshot

git clone https://github.com/alexbayerl/Orca.git
  1. 1

    Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Alexbayerl

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

MCP

contracthigh
Observed Feb 24, 2026Source linkProvenance

Auth modes

mcp, api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB MCP

Extracted files

0

Examples

6

Snippets

0

Languages

typescript

Executable Examples

text

██████╗ ██████╗  ██████╗ █████╗
  ██╔═══██╗██╔══██╗██╔════╝██╔══██╗
  ██║   ██║██████╔╝██║     ███████║
  ██║   ██║██╔══██╗██║     ██╔══██║
  ╚██████╔╝██║  ██║╚██████╗██║  ██║
   ╚═════╝ ╚═╝  ╚═╝ ╚═════╝╚═╝  ╚═╝   MCP Orchestrator

text

orchestrator/
  cli.py                # CLI entrypoint
  config.py             # YAML loading + validation
  models.py             # Data models (ServerSpec, RestartSpec, etc.)
  planner.py            # Dependency graph + topological sort
  ports.py              # Port allocation
  process.py            # Process supervision & environment prep
  health.py             # Health checking strategies
  logs.py               # Rotating & structured logging
  state.py              # State registry & snapshots
  util.py               # Cross-platform helpers & hooks
  api/status.py         # FastAPI status endpoints
  ui/dashboard.py       # Textual dashboard + fallback monitor
  ui/styles.py          # Palette / formatting
  integrations/         # Plugin system (foundation)
tests/
  test_config.py
  test_planner.py
  test_ports.py

bash

# Clone repository
git clone <your-repo-url> orca
cd orca

# (Optional) create virtual env
python -m venv .venv
. .venv/Scripts/activate  # Windows
# or
source .venv/bin/activate

# Install runtime dependencies
pip install -r requirements.txt

# (Optional) editable install for console script
pip install -e .

bash

python -m orchestrator.cli up
# or (if console script installed)
orca start

yaml

version: 1
settings:
  status_port: 7555
  log_dir: ./.orchestrator/logs
  graceful_shutdown_seconds: 12
  ui: textual

servers:
  # Example HTTP microservice (Python)
  - name: api-service
    cwd: services/api
    cmd: ["python", "app.py"]
    transport: http
    prefer_port: 8001
    health:
      type: http
      path: /health
      timeout_ms: 4000
      initial_delay_ms: 500
    restart:
      enabled: true
      max_restarts: 5
      backoff_seconds: [1, 2, 4, 8]
    tags: [api, core]

  # Example long‑running scanner / worker (Go, Node, etc.)
  - name: worker-scanner
    cwd: services/worker
    cmd: ["go", "run", "./cmd/worker"]  # or ["node", "server.js"]
    transport: http
    prefer_port: 8002
    health:
      type: tcp
      path: /
      timeout_ms: 4000
      initial_delay_ms: 1000
    restart:
      enabled: true
      max_restarts: 3
      backoff_seconds: [2, 5, 10]
    tags: [worker, background]

bash

orca validate

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB MCP

Docs source

GITHUB MCP

Editorial quality

ready

OpenClaw agent: Orca Orca – MCP Orchestrator Platform A cross‑platform orchestration system for managing multiple MCP (Model Context Protocol) servers with supervised processes, health monitoring, dependency planning, an interactive TUI dashboard, and a REST Status API. --- Table of Contents - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 - $1 --- Features - Process supervision & restart backoff

Full README

Orca – MCP Orchestrator Platform

A cross‑platform orchestration system for managing multiple MCP (Model Context Protocol) servers with supervised processes, health monitoring, dependency planning, an interactive TUI dashboard, and a REST Status API.

   ██████╗ ██████╗  ██████╗ █████╗
  ██╔═══██╗██╔══██╗██╔════╝██╔══██╗
  ██║   ██║██████╔╝██║     ███████║
  ██║   ██║██╔══██╗██║     ██╔══██║
  ╚██████╔╝██║  ██║╚██████╗██║  ██║
   ╚═════╝ ╚═╝  ╚═╝ ╚═════╝╚═╝  ╚═╝   MCP Orchestrator

Table of Contents


Features

Planned / partial (scaffolding present):

  • Real-time event streaming (SSE endpoints)
  • Dynamic configuration hot‑reload
  • Extended metrics & performance summaries
  • Additional integration plugins (Docker Compose, Kubernetes, etc.)

Project Structure

orchestrator/
  cli.py                # CLI entrypoint
  config.py             # YAML loading + validation
  models.py             # Data models (ServerSpec, RestartSpec, etc.)
  planner.py            # Dependency graph + topological sort
  ports.py              # Port allocation
  process.py            # Process supervision & environment prep
  health.py             # Health checking strategies
  logs.py               # Rotating & structured logging
  state.py              # State registry & snapshots
  util.py               # Cross-platform helpers & hooks
  api/status.py         # FastAPI status endpoints
  ui/dashboard.py       # Textual dashboard + fallback monitor
  ui/styles.py          # Palette / formatting
  integrations/         # Plugin system (foundation)
tests/
  test_config.py
  test_planner.py
  test_ports.py

Installation

# Clone repository
git clone <your-repo-url> orca
cd orca

# (Optional) create virtual env
python -m venv .venv
. .venv/Scripts/activate  # Windows
# or
source .venv/bin/activate

# Install runtime dependencies
pip install -r requirements.txt

# (Optional) editable install for console script
pip install -e .

Run directly:

python -m orchestrator.cli up
# or (if console script installed)
orca start

Quick Start

  1. Create orca.yaml:
version: 1
settings:
  status_port: 7555
  log_dir: ./.orchestrator/logs
  graceful_shutdown_seconds: 12
  ui: textual

servers:
  # Example HTTP microservice (Python)
  - name: api-service
    cwd: services/api
    cmd: ["python", "app.py"]
    transport: http
    prefer_port: 8001
    health:
      type: http
      path: /health
      timeout_ms: 4000
      initial_delay_ms: 500
    restart:
      enabled: true
      max_restarts: 5
      backoff_seconds: [1, 2, 4, 8]
    tags: [api, core]

  # Example long‑running scanner / worker (Go, Node, etc.)
  - name: worker-scanner
    cwd: services/worker
    cmd: ["go", "run", "./cmd/worker"]  # or ["node", "server.js"]
    transport: http
    prefer_port: 8002
    health:
      type: tcp
      path: /
      timeout_ms: 4000
      initial_delay_ms: 1000
    restart:
      enabled: true
      max_restarts: 3
      backoff_seconds: [2, 5, 10]
    tags: [worker, background]
  1. Validate:
orca validate
  1. Start:
orca start
# or headless
orca start --no-tui
  1. Inspect status:
curl http://127.0.0.1:7555/status

Configuration

Loader: load_config
Validation: OrchestratorConfig.validate
Server model: ServerSpec
Restart spec: RestartSpec
Health spec: HealthSpec

Key fields (per server):

name: string
cwd: path
cmd: [executable, args...]
transport: http|stdio|sse
prefer_port: <int>
env: { KEY: VALUE }
health:
  type: http|tcp|stdio|none
  path: /health
  timeout_ms: 4000
  initial_delay_ms: 500
restart:
  enabled: true
  max_restarts: 5
  backoff_seconds: [1,2,4,8]
tags: [list, of, labels]
depends_on: [other-server-names]
hooks:
  pre_start: [...]
  post_start: [...]
  pre_stop: [...]
  post_stop: [...]
  pre_restart: [...]
  post_restart: [...]
  timeout_seconds: 30

Environment Variable Interpolation

Handled in interpolate_env_vars.
Forms:

  • ${VAR} (required)
  • ${VAR:-default} (optional default)

Example:

env:
  API_KEY: ${API_KEY}
  DEBUG: ${DEBUG:-false}
  PORT: ${API_PORT:-8080}

CLI Usage

Entrypoint: OrchestratorCLI

orca start                # Start all (alias: up)
orca start --no-tui       # Headless
orca start --servers a b  # Subset
orca stop                 # Stop all (alias: down)
orca restart worker-scanner
orca ps --watch           # Periodic refresh
orca ps --json
orca logs api-service --lines 200 --follow
orca validate --config custom.yaml

Options:

  • --config <file>
  • --log-level DEBUG|INFO|...
  • --log-file path/to/file.log
  • --grace <seconds> (on stop)

TUI Dashboard

Source: Dashboard
Styles / palette: OrchestratorStyles

Key (implemented subset; some placeholders):

q / Ctrl+C  Quit
h / ?       Help
(Planned: filtering, restart keys, log interactions)

Fallback: simple Rich table if Textual unavailable.


Status API

Implementation: StatusAPI
Default base: http://127.0.0.1:<status_port>

Endpoints (current core):

GET /status
GET /status/{server_name}
GET /logs/{server_name}/tail?lines=100&log_type=human|json
GET /health

(Planned: /events/stream, /logs/{server}/stream, integration endpoints)

Example:

curl http://127.0.0.1:7555/status
curl "http://127.0.0.1:7555/logs/api-service/tail?lines=50"

Logging

Core setup: setup_orchestrator_logging
Per-server manager: ServerLogManager

Features:

  • Rotating file logs (10MB × 5)
  • Human formatter + structured JSON formatter
  • Console handler safely disabled during TUI (see set_console_logging_enabled in logs.py)

Health Monitoring

Logic: HealthChecker
Supports:

  • HTTP probe
  • TCP/port readiness
  • stdio heartbeat (via process status) Config tuning via timeout_ms, initial_delay_ms, success/failure thresholds.

Dependency Planning

Graph build + cycle detection: DependencyPlanner
Order retrieval: DependencyPlanner.get_startup_order
Raises DependencyError on cycles.


Restart Policies

Defined in RestartSpec
Managed by supervisor / process controller (see ProcessManager & supervisor layer).
Exponential/backoff sequencing via configurable list.


Lifecycle Hooks

Executed with timeout via helper: execute_lifecycle_hook
Configure under hooks: in server spec. Failing pre-start hook aborts startup.

Example:

hooks:
  pre_start: ["echo 'Preparing'"]
  post_start: ["curl -fsS http://127.0.0.1:8080/health || exit 1"]
  pre_stop: ["echo 'Stopping'"]
  post_stop: ["echo 'Stopped'"]
  timeout_seconds: 30

Integrations (Plugin System)

Foundation in:

Capabilities (scaffold):

  • Normalization (_normalize_name)
  • External discovery sources
  • Merge strategies (planned)

Status: early stage; REST + CLI surface for integrations not fully exposed yet.


Testing

Light tests:

Run:

pytest
pytest --cov=orchestrator
python test_orchestrator.py
python test_runner.py

Roadmap (Condensed)

Near-term:

  • SSE event / log streaming
  • Integration sync CLI + API
  • Live log viewer in TUI
  • Advanced filtering (tags / capability)
  • Hot config reload & diff validation
  • Extended metrics (CPU / RSS / restart trend)

Mid-term:

  • Plugin adapters (Docker Compose, Kubernetes, custom YAML/JSON)
  • Job system + run artifact management (external platform tie‑ins)
  • Web UI (orchestrator status proxy)

Longer-term:

  • Predictive health scoring
  • Cross-platform packaging
  • Recipe / automation layer integration

Contributing

  1. Fork
  2. Create feature branch
  3. Add/change code + tests
  4. Run tests & lint
  5. Open PR with concise summary

License

MIT – see LICENSE.


Acknowledgments

Inspiration from ecosystem tooling; emphasis on portability, clarity, and safe orchestration.


Appendix: Minimal Example

version: 1
settings:
  status_port: 7555
  log_dir: ./.orchestrator/logs

servers:
  - name: demo
    cwd: .
    cmd: ["python", "-c", "import time; print('demo up'); time.sleep(60)"]
    transport: stdio
    health:
      type: stdio
      timeout_ms: 3000
      initial_delay_ms: 500
    restart:
      enabled: true
      max_restarts: 2
      backoff_seconds: [1,2]
    tags: [demo, example]

Start:

orca start --config orca.yaml

Key References (Code Links)


Clear, modular, extensible orchestration for

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Contract coverage

Status

ready

Auth

mcp, api_key

Streaming

Yes

Data region

global

Protocol support

MCP: verified

Requires: mcp, lang:typescript, streaming

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Protocol support is explicitly confirmed in contract metadata.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/snapshot"
curl -s "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract"
curl -s "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITLAB_AI_CATALOGgitlab-mcp

Rank

83

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_PUBLIC_PROJECTSgitlab-mcp

Rank

80

A Model Context Protocol (MCP) server for GitLab

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-openapi

Rank

74

Expose OpenAPI definition endpoints as MCP tools using the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
GITLAB_AI_CATALOGrmcp-actix-web

Rank

72

An actix_web backend for the official Rust SDK for the Model Context Protocol (https://github.com/modelcontextprotocol/rust-sdk)

Traction

No public download signal

Freshness

Updated 2d ago

MCP
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "mcp",
    "api_key"
  ],
  "requires": [
    "mcp",
    "lang:typescript",
    "streaming"
  ],
  "forbidden": [],
  "supportsMcp": true,
  "supportsA2a": false,
  "supportsStreaming": true,
  "inputSchemaRef": "https://github.com/alexbayerl/Orca#input",
  "outputSchemaRef": "https://github.com/alexbayerl/Orca#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:42:32.893Z",
  "sourceUpdatedAt": "2026-02-24T19:42:32.893Z",
  "freshnessSeconds": 4440534
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_MCP",
      "generatedAt": "2026-04-17T05:11:27.568Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "supported",
      "confidenceSource": "contract",
      "notes": "Confirmed by capability contract"
    }
  ],
  "flattenedTokens": "protocol:MCP|supported|contract"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Alexbayerl",
    "href": "https://github.com/alexbayerl/Orca",
    "sourceUrl": "https://github.com/alexbayerl/Orca",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:42:32.893Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "mcp, api_key",
    "href": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:42:32.893Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/alexbayerl/Orca#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:42:32.893Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/mcp-alexbayerl-orca/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

Sponsored

Ads related to Orca and adjacent AI workflows.