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Built for the Claude Code community with Claude Code by mertbuilds.com

Independent project, not affiliated with Anthropic
jdmay2 avatar

Borough NYC Real Estate API

jdmay2/borough
authSTDIO, HTTPregistry active
Summary

This hooks Claude up to Borough's NYC real estate API, giving you structured access to rental and sales listings with 50+ fields per property, building level data, and market statistics. You can search properties, pull detailed listing information, query building characteristics, and tap into market analytics without scraping or dealing with unstructured data. Reach for this when you need to build real estate tools, analyze the NYC housing market, or answer questions about specific properties and neighborhoods with current data. It exposes the full Borough API through MCP, so Claude can query listings, filter by criteria, and pull comps or trend data in structured formats.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
inference shell
inference shell
create and run specialised agents in minutes
build now →
MCP-ready Email SendingMCP-ready Email Sending
MCP-ready Email Sending
Plug Mailtrap into your AI workflow and let it handle the email.
Connect Mailtrap MCP →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Capacitor - Shared memory for your team’s coding agents.
Capacitor - Shared memory for your team’s coding agents.
Make coding agent sessions - Searchable, Shareable, Vendor-neutral & Scored.
Try For Free →
CodeScene MCP ServerCodeScene MCP Server
CodeScene MCP Server
Your agent targets a perfect 10 Code Health score. Deterministic. Every commit.
Try For Free →
Give your AI the whole web as clean markdownGive your AI the whole web as clean markdown
Give your AI the whole web as clean markdown
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
belt - the only tool your agent needs
belt - the only tool your agent needs
belt cli automatically finds the best tools and skills for your agent. image, video, music, tts...
one prompt install →

Configuration

BOROUGH_API_KEY*secret

Your Borough API key (get one free at https://borough.qwady.app/pricing)

Categories
Sales & MarketingSearch & Web CrawlingMonitoring & ObservabilityData & Analytics
Registryactive
Package@borough/mcp
TransportSTDIO, HTTP
AuthRequired
UpdatedFeb 20, 2026
View on GitHub

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katie-a-delgado avatar
talnexis

katie-a-delgado/talnexis

TalNexis gives your AI assistant real-time hiring intelligence across 98 top tech companies — Anthropic, Nvidia, Stripe, Anduril, Snowflake, and more. Data is scraped daily from public job boards. Ask about top hiring movers, AI/ML role trends, company-specific signals, or sector-level pulse. Tools cover market summaries, hiring velocity, role category breakdowns, and detected signals like AI hiring surges and functional shifts. Connect via the hosted SSE endpoint — no local setup required.
kinglions avatar
UI Design to Code

kinglions/ui-design-to-code-mcp

Design-to-code artifact pipeline for UI screenshots, Figma node data, and visual review.
kulkarnianirudha8 avatar
byteaskai

kulkarnianirudha8/byteaskai

# ByteAsk Embedded Docs MCP Page-cited retrieval over embedded systems documentation, datasheets, reference manuals, RTOS documentation, coding standards, and firmware engineering references for AI coding agents. **Registry Namespace:** `ai.byteask/embedded-docs` **Endpoint:** `https://mcp.byteask.ai/mcp` **Documentation:** https://docs.byteask.ai/embedded **GitHub:** https://github.com/ByteAsk/ByteAsk-Embedded-MCP --- # Why This MCP Exists Modern AI coding agents are excellent at generating code, but often struggle when working with vendor-specific embedded documentation, hardware reference manuals, firmware SDKs, and coding standards. Embedded engineers routinely need answers from: * STM32 Reference Manuals * ARM Cortex-M Technical Reference Manuals * CMSIS Documentation * FreeRTOS Documentation * Zephyr Documentation * ESP-IDF Documentation * Nordic SDK Documentation * NXP Documentation * MISRA C * MISRA C++ * AUTOSAR * Device Datasheets * Vendor Application Notes Searching these sources manually can require navigating hundreds or thousands of pages of documentation. ByteAsk Embedded Docs MCP gives AI coding agents direct access to these references and returns page-cited answers grounded in source documentation. --- # Features ## Page-Cited Retrieval Every answer is grounded in source documentation with citations to the original reference. This enables engineers to verify claims directly against vendor documentation. --- ## Documentation Search Search across embedded and firmware engineering references. Examples: * Peripheral configuration * Register descriptions * DMA setup * Interrupt handling * Clock configuration * RTOS APIs * MISRA compliance questions * ARM architecture details --- ## Agent-Native Works directly with MCP-compatible tools including: * Claude Code * Claude Desktop * Cursor * Windsurf * VS Code MCP Clients * GitHub Copilot MCP * Any MCP-compatible agent --- ## Remote Hosted No indexing, crawling, or local setup required. The server is hosted by ByteAsk and continuously updated. --- # Example Prompts ## STM32 ```text Find the STM32H7 Ethernet DMA initialization sequence. ``` ```text Show the documentation for STM32 timer input capture. ``` ```text Find the register definition for RCC clock configuration. ``` --- ## ARM Cortex-M ```text Explain NVIC interrupt priority configuration on Cortex-M4. ``` ```text Find documentation for SysTick configuration. ``` ```text Show Cortex-M exception handling behavior. ``` --- ## CMSIS ```text Find the CMSIS documentation for NVIC_SetPriority. ``` ```text Show CMSIS APIs related to interrupt control. ``` --- ## FreeRTOS ```text Find documentation for task notifications. ``` ```text Compare queues and task notifications in FreeRTOS. ``` ```text Show examples of FreeRTOS software timers. ``` --- ## MISRA ```text Find MISRA C rules related to pointer arithmetic. ``` ```text Show MISRA C++ guidance on exception handling. ``` ```text Find rules regarding dynamic memory allocation. ``` --- ## Zephyr ```text Find Zephyr GPIO driver documentation. ``` ```text Show examples of Zephyr work queues. ``` ```text Explain Zephyr device tree configuration. ``` --- # Supported Knowledge Domains ## Embedded Systems * Microcontrollers * SoCs * Device Drivers * Peripherals * DMA * Interrupts * Timers * GPIO * UART * SPI * I2C * CAN * Ethernet * USB ## Firmware Engineering * RTOS Development * Bare-Metal Development * Bootloaders * Hardware Abstraction Layers * Embedded Networking * Memory Management ## Documentation Sources * Reference Manuals * Datasheets * SDK Documentation * Application Notes * Programming Manuals * Technical Reference Manuals * Architecture Specifications ## Coding Standards * MISRA C * MISRA C++ * AUTOSAR * Embedded Best Practices --- # Installation Use the MCP endpoint: ```text https://mcp.byteask.ai/mcp ``` Refer to the documentation for client-specific installation instructions: https://docs.byteask.ai/embedded --- # Example Workflow Engineer asks: ```text How do I configure Ethernet DMA on STM32H7? ``` Agent: 1. Queries ByteAsk Embedded Docs MCP 2. Retrieves relevant documentation sections 3. Produces a grounded answer 4. Includes citations to the source material Result: * Faster debugging * Fewer hallucinations * Traceable answers * Direct access to source references --- # Ideal Users * Embedded Software Engineers * Firmware Engineers * RTOS Developers * Automotive Software Engineers * Safety-Critical Software Teams * Embedded AI Engineers * Hardware Bring-Up Teams * BSP Developers * Driver Developers * Platform Engineers --- # About ByteAsk ByteAsk builds citation-backed retrieval systems for high-value technical knowledge. The Embedded Docs MCP provides page-cited access to embedded and firmware engineering documentation directly inside AI coding workflows. Documentation: https://docs.byteask.ai/embedded GitHub: https://github.com/ByteAsk/ByteAsk-Embedded-MCP Registry: ai.byteask/embedded-docs
kylecassie avatar
cakesmash-mcp

kylecassie/cakesmash-mcp

Reel scripts, hooks, and the **P.U.L.S.E.™** practice diagnostic for cosmetic dental, medical spa, and plastic surgery practices. ## Tools - **`get_reel_script_sample(niche, angle?)`** — Returns one full reel script (Hook + Body + CTA + Format Note). - **`get_hook_examples(niche, count)`** — Returns 1–5 hooks with framework explanation. - **`get_pulse_diagnostic()`** — Returns the P.U.L.S.E. five-phase framework (Positioning, Uniqueness, Local intelligence, Scripting, Experience) plus a 5-question self-diagnostic. - **`find_pack(practice_type)`** — Fuzzy-matches a practice description to the right Cakesmash niche pack. ## Niches `cosmetic-dental` · `med-spa` · `plastic-surgery` 90 brain-trust-passed scripts loaded at startup. No auth required. Returns full creative plus a direct path to the Cakesmash Media storefront. Built by [Cakesmash Media](https://cakesmashmedia.com) — Revenue Architecture for elite medical practices.
larrybuildsai avatar
ResultRail by LarryBuildsAI

larrybuildsai/resultrail

ResultRail by LarryBuildsAI sells pay-per-success public-data result packs for AI agents. It returns source URLs, confidence, timestamps, and receipt hashes for domain enrichment, URL extraction, and single-result lookup workflows. Use it when an agent needs one useful public-data result with a clear stop condition.
larrybuildsai avatar
ResultRail by LarryBuildsAI

larrybuildsai/resultrail-d681fbb2

ResultRail by LarryBuildsAI sells pay-per-success public-data result packs for AI agents. It returns source URLs, confidence, timestamps, and receipt hashes for domain enrichment, URL extraction, and single-result lookup workflows. Use it when an agent needs one useful public-data result with a clear stop condition.