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Merge pull request #9523 from Avierovich/add-openpitch
Add OpenPitch — open, sourced AI-startup intelligence (Finance & Fintech) 🤖🤖🤖
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Frank Fiegel
@@ -2053,6 +2053,7 @@ Provides direct access to local file systems with configurable permissions. Enab
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- [alebgl77/ftp-deploy-mcp](https://github.com/alebgl77/ftp-deploy-mcp) [](https://glama.ai/mcp/servers/alebgl77/ftp-deploy-mcp) 📇 🏠 🍎 🪟 🐧 - Deploy files from AI agents to your own FTP/FTPS/SFTP servers — multi-server config, recursive deploy with dry-run and gitignore-like excludes, per-server path jail and read-only mode, FileZilla import, one-command setup for popular MCP clients.
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- [alebgl77/ftp-deploy-mcp](https://github.com/alebgl77/ftp-deploy-mcp) [](https://glama.ai/mcp/servers/alebgl77/ftp-deploy-mcp) 📇 🏠 🍎 🪟 🐧 - Deploy files from AI agents to your own FTP/FTPS/SFTP servers — multi-server config, recursive deploy with dry-run and gitignore-like excludes, per-server path jail and read-only mode, FileZilla import, one-command setup for popular MCP clients.
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### 💰 <a name="finance--fintech"></a>Finance & Fintech
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### 💰 <a name="finance--fintech"></a>Finance & Fintech
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- [Avierovich/openpitch](https://github.com/Avierovich/openpitch) [](https://glama.ai/mcp/servers/Avierovich/openpitch) 🐍 🏠 🍎 🪟 🐧 - Open, real-time intelligence on AI startups — valuations, ARR, and funding, with every figure sourced, dated, and confidence-scored, plus public-source contradiction flags. A free, open PitchBook alternative that reads committed public data: no API key, no signup. `uvx openpitch-mcp`
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- [axionquant/mcp-server](https://github.com/axionquant/mcp-server) [](https://glama.ai/mcp/servers/axionquant/mcp-server) 📇 ☁️ - Unified financial data API for market prices, fundamentals, disclosures, macroeconomic, and alternative data. Install: `npm i @axionquant/mcp`.
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- [axionquant/mcp-server](https://github.com/axionquant/mcp-server) [](https://glama.ai/mcp/servers/axionquant/mcp-server) 📇 ☁️ - Unified financial data API for market prices, fundamentals, disclosures, macroeconomic, and alternative data. Install: `npm i @axionquant/mcp`.
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- [xsf0221/pattern-vista-cli](https://github.com/xsf0221/pattern-vista-cli) [](https://glama.ai/mcp/servers/xsf0221/pattern-vista-cli) 🎖️ 🐍 🏠 ☁️ 🍎 🪟 🐧 - End-of-day US equity technical data: how far each S&P 500 / Nasdaq 100 name has strayed from its own 200-day average, what share of the universe currently sits above it, and the chart patterns from each night's scan carried with their historical win-rate against SPY. Tool descriptions state their own caveats — data is end-of-day, never intraday, and a bucket win-rate is a property of hundreds of past signals rather than a probability for the next one. Free tier needs no card. On the official MCP Registry as `io.github.xsf0221/pattern-vista`. `uvx --from 'pattern-vista[mcp]' pattern-vista-mcp`
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- [xsf0221/pattern-vista-cli](https://github.com/xsf0221/pattern-vista-cli) [](https://glama.ai/mcp/servers/xsf0221/pattern-vista-cli) 🎖️ 🐍 🏠 ☁️ 🍎 🪟 🐧 - End-of-day US equity technical data: how far each S&P 500 / Nasdaq 100 name has strayed from its own 200-day average, what share of the universe currently sits above it, and the chart patterns from each night's scan carried with their historical win-rate against SPY. Tool descriptions state their own caveats — data is end-of-day, never intraday, and a bucket win-rate is a property of hundreds of past signals rather than a probability for the next one. Free tier needs no card. On the official MCP Registry as `io.github.xsf0221/pattern-vista`. `uvx --from 'pattern-vista[mcp]' pattern-vista-mcp`
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- [411sst/gst-einvoice-mcp](https://github.com/411sst/gst-einvoice-mcp) [](https://glama.ai/mcp/servers/411sst/gst-einvoice-mcp) 🐍 🏠 🍎 🪟 🐧 - Turns Indian GST tax invoices (PDF or scanned) into the government's INV-01 JSON payload. Every value the model returns is checked back against the document text, so a field it cannot corroborate is reported absent rather than invented, and a missing mandatory field means no payload at all. Per-field provenance (regex / llm / derived / assumed) and per-field OCR confidence travel beside the payload, never inside it. GSTIN mod-36 checksum, four arithmetic cross-checks, and explicit refusals for export, SEZ and foreign-currency invoices. `pip install gst-einvoice-mcp`
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- [411sst/gst-einvoice-mcp](https://github.com/411sst/gst-einvoice-mcp) [](https://glama.ai/mcp/servers/411sst/gst-einvoice-mcp) 🐍 🏠 🍎 🪟 🐧 - Turns Indian GST tax invoices (PDF or scanned) into the government's INV-01 JSON payload. Every value the model returns is checked back against the document text, so a field it cannot corroborate is reported absent rather than invented, and a missing mandatory field means no payload at all. Per-field provenance (regex / llm / derived / assumed) and per-field OCR confidence travel beside the payload, never inside it. GSTIN mod-36 checksum, four arithmetic cross-checks, and explicit refusals for export, SEZ and foreign-currency invoices. `pip install gst-einvoice-mcp`
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