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@agentled/mcp-server

v0.5.2

Published

MCP server for AgentLed — intelligent AI workflow orchestration with long-term memory, 100+ integrations, unified credits.

Readme

@agentled/mcp-server

Intelligent AI workflow orchestration with long-term memory, 100+ integrations, unified credits — from Claude, Codex, or any MCP client.

npm version license

What is Agentled?

Agentled is an AI-native workflow automation platform with persistent business memory. 100+ integrations (30 native + Composio), a Knowledge Graph that learns across executions, and a unified credit system replacing 100+ separate API accounts. This MCP server lets you create, manage, and execute workflows from Claude, Codex, Cursor, Windsurf, or any MCP-compatible client.

Why Agentled MCP?

One API Key. One Credit System. 100+ Services.

No need to sign up for LinkedIn APIs, email services, web scrapers, video generators, or AI models separately. Agentled handles all integrations through a single credit system.

| Capability | Credits | Without Agentled | |-----------|---------|-----------------| | LinkedIn company enrichment | 50 | LinkedIn API ($99/mo+) | | Email finding & verification | 5 | Hunter.io ($49/mo) | | AI analysis (Claude/GPT/Gemini) | 10-30 | Multiple API keys + billing | | Web scraping | 3-10 | Apify account ($49/mo+) | | Image generation | 30 | DALL-E/Midjourney subscription | | Video generation (8s scene) | 300 | RunwayML ($15/mo+) | | Text-to-speech | 60 | ElevenLabs ($22/mo+) | | Knowledge Graph storage | 1-2 | Custom infrastructure | | CRM sync (Affinity, HubSpot) | 5-10 | CRM API + middleware |

Intelligent Orchestration

Unlike trigger-action tools, Agentled workflows have AI reasoning at every step. Multi-model support (Claude, GPT-4, Gemini, Mistral, DeepSeek, Moonshot), adaptive execution, and human-in-the-loop approval gates when needed.

Long-Term Memory via Knowledge Graph

Every workflow execution builds your business knowledge base. Query past insights in future workflows. Feedback loops that improve matching, scoring, and decisions over time.

Workflow 1: Research 100 companies → Store insights in KG
Workflow 2: "Find companies similar to our best customers" → KG already knows
Workflow 3: Score new leads → Uses feedback from all previous workflows

Quick Start

claude mcp add agentled \
  -e AGENTLED_API_KEY=wsk_... \
  -e AGENTLED_URL=https://www.agentled.app \
  -- npx -y @agentled/mcp-server

Install AI Agent Skills (optional, recommended)

The package includes a skill file that teaches your AI agent how to build Agentled workflows effectively — covering pipeline schemas, step types, template variables, credit costs, and best practices.

Claude Code:

npx @agentled/mcp-server --setup-skills           # project-level (.claude/skills/)
npx @agentled/mcp-server --setup-skills --global   # global (~/.claude/skills/)

Other clients — copy skills/agentled/SKILL.md from the package to the right location:

| Client | Copy to | |--------|---------| | Cursor | .cursor/rules/agentled.mdc | | Windsurf | Append to .windsurfrules | | Codex | Append to AGENTS.md |

# Example: Cursor
cp $(npm root -g)/@agentled/mcp-server/skills/agentled/SKILL.md .cursor/rules/agentled.mdc

Getting your API key

  1. Sign up at agentled.app
  2. Open Workspace Settings > Developer
  3. Generate a new API key (starts with wsk_)

Environment variables

| Variable | Required | Description | |----------|----------|-------------| | AGENTLED_API_KEY | Yes | Workspace API key (wsk_...) | | AGENTLED_URL | No | API base URL (default: https://www.agentled.app) |

What Can You Build?

Lead Enrichment & Sales Automation

Find prospects on LinkedIn, enrich data, score by ICP fit, personalized outreach at scale, CRM sync with scoring history. The entire sales dev workflow in one prompt.

"Create a workflow that takes a LinkedIn company URL, enriches the company data,
finds decision-maker emails, scores them by ICP fit, and saves results to a knowledge list"

Content & Media Production

Generate videos, images, voiceovers, AI-written articles and social posts, multi-channel publishing. From idea to published across all channels in one workflow.

"Build a workflow that scrapes a competitor's blog, generates a better article
with AI, creates a thumbnail image, and drafts posts for LinkedIn and Twitter"

Company Research & Intelligence

Website analysis, competitor research, investment memo generation, market analysis with AI reasoning. Results stored in KG for future queries. Your AI research team that remembers everything.

"Create a workflow that researches a company from its URL, analyzes their
market position, team, and funding, then generates a structured investment memo"

Built-in Capabilities

Media Production: Video generation, image generation, text-to-speech, auto-captions, media assembly

AI Intelligence: Multi-model AI (Claude, GPT-4, Gemini, Mistral, DeepSeek, Moonshot, xAI), Knowledge Graph, feedback loops, scoring & analytics

Data & Integration: LinkedIn (search, enrich, post), email (send, personalize), web scraping, social publishing, CRM sync, document analysis, OCR

Available Tools

Workflows

| Tool | Description | |------|-------------| | list_workflows | List all workflows in the workspace | | get_workflow | Get full workflow definition by ID | | create_workflow | Create a new workflow from pipeline JSON | | update_workflow | Update an existing workflow | | delete_workflow | Permanently delete a workflow | | validate_workflow | Validate pipeline structure, returns errors per step | | publish_workflow | Change workflow status (draft, live, paused, archived) | | export_workflow | Export a workflow as portable JSON | | import_workflow | Import a workflow from exported JSON |

Drafts & Snapshots

| Tool | Description | |------|-------------| | get_draft | Get the current draft version of a workflow | | promote_draft | Promote a draft to the live version | | discard_draft | Discard the current draft | | list_snapshots | List version snapshots for a workflow | | restore_snapshot | Restore a workflow to a previous snapshot |

Executions

| Tool | Description | |------|-------------| | start_workflow | Start a workflow execution with input | | list_executions | List executions for a workflow (paginated via nextToken) | | get_execution | Get execution details with step results | | list_timelines | List step execution records (timelines) for an execution (paginated via nextToken) | | get_timeline | Get a single timeline by ID with full step output | | stop_execution | Stop a running execution | | retry_execution | Retry a failed execution |

Apps & Testing

| Tool | Description | |------|-------------| | list_apps | List available apps and integrations | | get_app_actions | Get action schemas for an app | | test_app_action | Test an app action without creating a workflow | | test_ai_action | Test an AI prompt without creating a workflow |

Knowledge & Data

| Tool | Description | |------|-------------| | get_workspace | Get workspace info and settings | | list_knowledge_lists | List knowledge lists in the workspace | | get_knowledge_rows | Get rows from a knowledge list | | get_knowledge_text | Get text content from a knowledge entry | | query_kg_edges | Query knowledge graph edges | | get_scoring_history | Get scoring history for an entity |

Branding (Whitelabel)

| Tool | Description | |------|-------------| | get_branding | Get the workspace's whitelabel branding config (displayName, logo, colors, favicon, badge) | | update_branding | Update branding — set displayName, logoUrl, tagline, primaryColor, primaryColorDark, faviconUrl, hideBadge |

Conversational Agent

| Tool | Description | |------|-------------| | chat | Send a message to the AgentLed AI agent. Build workflows through natural language — no JSON required. Supports multi-turn conversations via session_id. |

Coming from n8n?

Import existing n8n workflows and make them AI-native:

| Tool | Description | |------|-------------| | preview_n8n_import | Preview an n8n workflow import (dry run) | | import_n8n_workflow | Import an n8n workflow into Agentled |

For Agencies: White-Label Ready

Build workflows once, deploy to multiple clients under your own brand. Configure branding directly from the MCP server:

"Set my workspace branding: displayName 'Acme AI', primaryColor '#6366f1', tagline 'Powered by Acme'"

Use get_branding and update_branding to manage displayName, logo, colors, favicon, tagline, and badge visibility. Client portal appearance updates instantly.

Works With

  • Claude Code (Anthropic)
  • Codex (OpenAI)
  • Cursor
  • Windsurf
  • Any MCP-compatible client

Links

Building from Source

git clone https://github.com/Agentled/mcp-server.git
cd mcp-server
npm install
npm run build

License

MIT