orquestra-mcp-connect

Name: orquestra-mcp-connect
Author: tomevault-io

AI Community

Repo stars 0
Author updated Live
Author repo skills-registry

Fluxly profile Facts only: domain, agents, trust score, runtime, permissions and network

Domain: AI
Compatible agents: Claude Code
Cursor
Cline
Codex
Windsurf
Gemini CLI

+20
Trust score: 88 / 100 · community maintained
Author / version / license: @tomevault-io · no license declared
Token usage: Lean
Setup complexity: Plug-and-play
External API key: Not required
Operating systems: macOS · Linux · Windows
Runtime requirements: Node.js >=18
Permissions: Read-only
Write / modify
Network behavior: External requests
Install commands: 26 variants

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools，默认拥有全部工具权限。

Output preview orquestra-mcp-connect.preview

---
name: orquestra-mcp-connect
description: | Use when this capability is needed. MCP endpoint: https://api.orquestra.dev/mcp (Streamable HT…
category: ai
runtime: Node.js
---

# orquestra-mcp-connect output preview

## PART A: Task fit
- Use case: | Use when this capability is needed. MCP endpoint: https://api.orquestra.dev/mcp (Streamable HTTP, stateless) File: ~/Library/Application Support/Claude/claudedesktopconfig.json makes outbound network calls; runs on Node.js >=18. Works with Claude Code, Cursor, Cline and 23 more..
- Inputs: target material, constraints, expected output, and acceptance criteria.
- Evidence boundary: follow “Claude Desktop / Cursor / Claude Code (CLI)” and do not present inference as author intent.

## PART B: Execution result
- **01** The card summarizes the use case; runtime output centers on “| Use when this capability is needed. MCP endpoint: https://api.orquestra.dev/mcp (Streamable HTTP, stateless) File: ~/Library/Application Support/Claude/claudedesktopconfig.json makes outbound network calls; runs on Node.js >=18. Works with Claude Code, Cursor, Cline and 23 more.”.
- **02** When the source has headings, the agent prioritizes “Claude Desktop / Cursor / Claude Code (CLI)” so the result follows the author’s structure.
- **03** Typical output includes task judgment, concrete steps, required commands or file edits, validation, and follow-up options.
- **04** Risk context follows the fingerprint: read files, write/modify files; may access external network resources; usually needs no extra API key.

## Running Rules
- read files, write/modify files; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding scope.
- Return the result, validation criteria, and next iteration options.

SKILL.md SKILL.md

---
name: orquestra-mcp-connect
description: | Use when this capability is needed. MCP endpoint: https://api.orquestra.dev/mcp (Streamable HT…
category: ai
source: tomevault-io/skills-registry
---

# orquestra-mcp-connect

## When to use
- | Use when this capability is needed. MCP endpoint: https://api.orquestra.dev/mcp (Streamable HTTP, stateless) File: ~…
- Use it when the task has clear inputs, repeatable steps, and validation criteria.

## What to provide
- Target material, scope, expected result, and forbidden changes.
- Whether network, commands, file writes, or external services are allowed.

## Execution rules
- Organize steps around “Claude Desktop / Cursor / Claude Code (CLI)” and keep inference separate from source facts.
- read files, write/modify files; may access external network resources; usually needs no extra API key.
- Validate with a small sample before expanding the task.

## Output requirements
- Return the deliverable, key evidence, validation method, and next action.
- Mark missing information as unknown; do not invent commands, platforms, or dependencies.

Evidence boundary and execution chain

The author source anchors workflow facts; repository files anchor sources and commands; Fluxly only adds fit, limitations, and quality judgment.

skill "orquestra-mcp-connect" {
  input      -> user goal + target files + boundaries + acceptance criteria
  context    -> Claude Desktop / Cursor / Claude Code (CLI)
  rules      -> SKILL.md triggers / order / output contract
  runtime    -> Node.js | read files, write/modify files | may access external network resources
  guardrails -> usually needs no extra API key + small-sample validation + diff/log review
  output     -> copyable result + checklist + next iteration
}

Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

Core job: | Use when this capability is needed. MCP endpoint: https://api.orquestra.dev/mcp (Streamable HTTP, stateless) File: ~/Library/A…
Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

Structure: The skill is organized around “Claude Desktop”, “Cursor”, “Claude Code (CLI)”, “Verify Connection”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
Invocation: Name orquestra-mcp-connect directly; if the source includes slash commands, start with the command and then add task context.
Validation: Start small and check whether the result follows “Claude Desktop / Cursor / Claude Code (CLI)” before expanding.

Boundaries And Review

Dependencies: It usually needs no extra API key, so start with a small validation task.
Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.

Orquestra MCP — Connection Setup

MCP endpoint: https://api.orquestra.dev/mcp (Streamable HTTP, stateless)

Claude Desktop

File: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "orquestra": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/client-streamable-http",
        "https://api.orquestra.dev/mcp"
      ]
    }
  }
}

Restart Claude Desktop after saving.

Cursor

File: .cursor/mcp.json (project) or ~/.cursor/mcp.json (global)

{
  "mcpServers": {
    "orquestra": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/client-streamable-http",
        "https://api.orquestra.dev/mcp"
      ]
    }
  }
}

Claude Code (CLI)

claude mcp add orquestra --transport http https://api.orquestra.dev/mcp

Or in .claude/settings.json:

{
  "mcpServers": {
    "orquestra": {
      "type": "http",
      "url": "https://api.orquestra.dev/mcp"
    }
  }
}

Verify Connection

After connecting, ask Claude:

"List the tools available in the orquestra MCP server"

You should see 8 tools: search_programs, list_instructions, build_instruction, list_pda_accounts, derive_pda, read_llms_txt, get_ai_analysis, simulate_instruction.

Troubleshooting

Symptom	Fix
Tools not appearing	Restart the client after config change
`npx` not found	Install Node.js ≥ 18
Connection refused	Check internet access to `api.orquestra.dev`
`search_programs` returns empty	The program may not be indexed — upload IDL at orquestra.dev
Wrong tool name format	Tool names use underscores: `search_programs`, NOT `searchPrograms`

Agent Pipeline (optional)

To install the full Orquestra agent pipeline (researcher → builder → signer):

bash <(curl -fsSL https://raw.githubusercontent.com/berkayoztunc/orquestra/main/install-skills.sh)

Agents installed: orquestra, orquestra-researcher, orquestra-pda-explorer, orquestra-tx-builder, orquestra-simulator, orquestra-signer

Source: berkayoztunc/orquestra — distributed by TomeVault.

Install command

One-click installPick a runner, click Copy, paste into your terminal, press enter

npx skills add tomevault-io/skills-registry/berkayoztunc--orquestra--orquestra-mcp-connect -y

Open general install guide

View skill source

Works with

Claude Code
Cursor
Cline
Codex
Windsurf
Gemini
OpenCode
Roo Code
AAide
+Augment
GitHub Copilot
OpenClaw
KKiro
Junie
WWarp
Goose
Trae
Kilo Code
OpenHands
Amp
Zencoder
CContinue
AIAider
CodeBuddy
CodeGeeX
Replit Agent

Security audit

88 / 100

Community

未声明 license/许可。
未声明 version。
未限定 allowed-tools，默认拥有全部工具权限。

Metadata

Source: github
tomevault-io/skills-registry
中文

More by @tomevault-io

Category & tags

Category AI