Agent Toolbelt Mcp

io.github.marras0914Published by GitHub account marras0914v1.0.0Updated Oct 24, 2026

19 focused API tools for AI agents: contract review, prompt optimizer, context packing, and more.

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Overview

AI-generated overview

Local MCP server exposing stock research and general utility tools through the Agent Toolbelt API, using live market data and AI-synthesized analysis.

What you can do
  • Research US-listed stocks: investment thesis, earnings history, insider Form 4 signals, valuation, bull/bear cases, head-to-head comparisons and moat ratings
  • Convert and extract content: HTML to Markdown, emails, phones, URLs and dates from text, CSV to typed JSON, URL metadata and page summaries
  • Generate developer assets: JSON Schema, TypeScript or Zod types, regex, cron expressions, mock API responses and dependency CVE scans
  • Work with text and prompts: token counts and cost estimates, prompt scoring and rewriting, context packing, document diffs and contract clause extraction
  • Produce design and office helpers: color palettes, brand kits, address normalization, meeting action items and…
When to use it
Useful when you want an assistant to pull live US equity data and structured investment analysis, or to offload small recurring tasks such as schema generation, text extraction, token counting and page summarization to one hosted API instead of many separate tools.
Requirements
Runs locally via npx (Node.js) over stdio. Requires an Agent Toolbelt API key in the AGENT_TOOLBELT_KEY environment variable, obtained by registering an email address. Network access to the Agent Toolbelt service and its upstream financial data providers.
Before you install
The API key is a secret passed in an environment variable; registration requires an email address. Calls are metered: free tier is 250 calls per month, stock analysis is billed per call at $0.02 and utility tools at $0.001–$0.005, so usage can cost money. Tool inputs, including URLs, documents and contracts, are sent to a third-party service and its data providers.

Installation

In SourceWeft

  1. Open Agent Toolbelt Mcp in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

agent-toolbelt-mcp

MCP server for Agent Toolbelt — gives Claude real-time stock research capabilities. Seven AI-powered analysis tools that pull live data from Polygon.io, Finnhub, and Financial Modeling Prep, then synthesize it into structured investment analysis.

Try the valuation snapshot live (no signup): www.agenttoolbelt.live

Step 1 — Get a free API key

The MCP server requires an API key. Free tier is 250 calls/month, no credit card required.

bash
curl -X POST 'https://www.agenttoolbelt.live/api/clients/register?source=npm' \  -H "Content-Type: application/json" \  -d '{"email": "[email protected]"}'

The response includes your atb_... key. Save it — you'll need it in Step 2.

Step 2 — Install

Claude Code

bash
claude mcp add agent-toolbelt \  -e AGENT_TOOLBELT_KEY=atb_your_key_here \  -- npx -y agent-toolbelt-mcp

Claude Desktop

Add to claude_desktop_config.json:

json
{  "mcpServers": {    "agent-toolbelt": {      "command": "npx",      "args": ["-y", "agent-toolbelt-mcp"],      "env": {        "AGENT_TOOLBELT_KEY": "atb_your_key_here"      }    }  }}

Stock Research Tools

Seven tools that give Claude live market data and AI-synthesized analysis. Each call pulls from multiple financial APIs in parallel and returns structured JSON. ~4–5 seconds per call. US-listed equities only (NYSE, NASDAQ, AMEX).

ToolWhat it does
stock_thesisFull investment thesis: bullish/neutral/bearish verdict, 2–3 paragraph analysis, key strengths, risks, valuation read, insider interpretation, what to watch next earnings
earnings_analysisEPS beat/miss history across 5 quarters, revenue trend classification, long-term consistency read, upcoming earnings date
insider_signalForm 4 interpretation: distinguishes meaningful open-market purchases from routine option exercises → strong_buy to strong_sell signal + confidence rating
valuation_snapshotP/E, P/S, EV/EBITDA, FCF yield, ROE → cheap/fair/expensive verdict + specific buy zone
bear_vs_bull3 bull + 3 bear arguments steelmanned with real data, net verdict, key debate question, who the stock suits
compare_stocksHead-to-head 2–3 ticker comparison: winner verdict, per-ticker strengths and concerns, recommendation map by investor goal (growth / value / quality)
moat_analysisBuffett-style competitive moat assessment: wide / narrow / none rating, moat sources (brand, switching costs, network effects, scale), durability outlook, and threats

Example

Once installed, ask Claude:

"Give me a full analysis of NVDA — thesis, earnings quality, insider activity, and whether it's cheap right now."

Claude calls the tools in parallel and synthesizes a complete research note. Here's what stock_thesis returns for NVDA:

Verdict: Bullish One-liner: "Nvidia owns the essential infrastructure for the AI revolution with a defensible software moat, but the valuation demands flawless execution."

Key Strengths:

  • Dominant ~80%+ data center GPU market share
  • CUDA moat creates switching costs and customer lock-in
  • 42 buy / 5 hold / 1 sell analyst consensus

Insider Read: Mixed — two executives bought ~47k shares each in March (positive), offset by routine selling from others.

Watch For Next Earnings: Data center revenue growth rate. Deceleration below 30% YoY would signal the boom is maturing.

Utility Tools

20 additional tools for common agent tasks.

ToolWhat it does
generate_schemaJSON Schema / TypeScript / Zod from a description
extract_from_textExtract emails, phones, URLs, dates, currencies from text
convert_markdownHTML ↔ Markdown conversion
fetch_url_metadataTitle, OG tags, author, favicon from any URL
summarize_web_pageFetch a URL, strip boilerplate, return clean Markdown + AI summary with key points
count_tokensToken counts + cost estimates across 15 LLM models
csv_to_jsonCSV to typed JSON with auto delimiter and type casting
normalize_addressUS address → USPS format with component parsing
generate_color_paletteColor palettes with WCAG scores and CSS variables
build_cronNatural language → cron expression with next-run preview
build_regexNatural language → regex with JS/Python/TS snippets
generate_brand_kitFull brand kit — colors, typography, CSS/Tailwind tokens
optimize_promptScore and rewrite LLM prompts for clarity and specificity
extract_meeting_action_itemsAction items, decisions, and summary from meeting notes
compare_documentsSemantic diff between two document versions
extract_contract_clausesKey clauses + risk flags from contracts
mock_api_responseRealistic mock data from a JSON Schema
audit_dependenciesCVE scan for npm/PyPI packages via OSV database
pack_context_windowPack content into a token budget
strip_image_metadataRemove EXIF/GPS metadata from images

Pricing

  • Free tier: 250 calls/month, no credit card
  • Stock analysis tools: $0.02/call (PAYG)
  • Most utility tools: $0.001–$0.005/call

Going to production

When the agent moves out of dev, a new set of questions shows up. What did it call last night? What arguments did it pass? Who approved the destructive one?

Cordon is an MCP gateway that sits in front of servers like this one. Point your client at Cordon instead of directly at Agent Toolbelt; Cordon forwards every call through and adds:

  • A real-time audit log of every tool invocation (name, arguments, response, latency)
  • Per-API-key policy: which tools each caller can use, under what conditions
  • Slack-based human approvals for tool calls you've flagged as high-risk

From the agent's perspective nothing changes — same tools, same schemas. Free tier covers 250 events/month.

License

MIT

Source: mcp-server/README.md at commit 4c3f84c

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v1.0.0LatestSep 16, 2026

Score

40% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

    Declare a license in the repository or the registry entry.