Rapp Agent Builder
Turn an idea or meeting transcript into a working single-file AI agent, check it, use it right away.
Connector by kody-w · GitHub account verified by the MCP Registry
Chalk Labs
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Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, VS Code, Cursor, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install connector/kody-w-rapp-agent-builder
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Remote endpoint
https://rapp-agent-builder.azurewebsites.net/mcpRemote (HTTP)
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.
- Tools
- 7 read · 1 write · 0 delete
- Secrets
- None asked for
- Install scripts
- Nothing to install (hosted)
- Runs as
- Hosted (remote endpoint)
Tools by what they do 8
From the running server's own tool list (tools/list) on Oct 25, 2026.
Read 7 · Look things up without changing anything.
check_agentfind_agentsget_agent_codeget_agent_templatehow_to_run_agentshare_agentuse_agent_here
Write 1 · Create, change, send or run things.
request_service
Network hosts it talks to 1
rapp-agent-builder.azurewebsites.net· found in remote endpoint, install command
Files it touches
- Any path the agent passes to its tools
Tools (8)
As the server listed them on Oct 25, 2026. Descriptions are the server’s own words; hidden characters are shown as [U+…].
check_agentCheck an agent fileread-onlyChecks a finished agent file against the template rules (manifest, naming, class, perform method, no hardcoded secrets). Call it on every agent you write, fix anything it reports, and call it again until it passes.
find_agentsFind existing agentsread-onlySearches the public agent registry (about 1,700 single-file agents) for agents that already do what the user wants, for example when they ask 'is there an AI tool for...' or want a ready-made automation instead of building one. Use it before building from scratch, or when the user asks whether an agent exists for a task.
get_agent_codeGet an agent's coderead-onlyReturns the full source of one agent from the registry, by its name (e.g. @bill/neuron_agent), so it can be read or adapted.
get_agent_templateGet the agent templateread-onlyUse this when the user wants to build an AI agent, assistant, bot or automation from an idea, a repetitive task, a process description, or a meeting transcript (for example: automate invoices, triage support tickets, summarize meetings, follow up with leads). Returns the official single-file agent template and its rules. Fill it in yourself from what the user described, then call check_agent on the finished file before showing it to the user. Then call use_agent_here so the user can use it right away in this chat.
how_to_run_agentKeep an agent running on your computerread-onlyOptional, for later: how to keep an agent running on the user's own computer with the free Brainstem. Only offer this after the user has used the agent in the chat and wants to keep it.
request_serviceAsk us to build somethingUse when the person wants something none of these tools can do and says yes to passing the request on. Records only the request text they agree to send (no name or contact). Ask before calling it.
share_agentShare an agent with everyoneread-onlyUse only when the user says they want to share an agent they built. Checks the agent and scans it for personal details (emails, phone numbers, secrets), then explains how to publish it to the free public agent registry under their own GitHub account. Nothing is published by this tool.
use_agent_hereUse the agent in this chatread-onlyUse this right after an agent passes check_agent, or whenever the user wants to try an agent. Returns a short Python runner so you can run the agent in this chat with your own Python tool on the user's own data (pasted text, an uploaded spreadsheet, a list). Nothing to install. If Python is unavailable, apply the agent's logic yourself by reading its code. Ask the user for their real data, run the agent, and show the result in plain words.
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit
- Oct 5, 2026 (25 days ago)
- Last release
- Oct 4, 2026 (26 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Registry name
io.github.kody-w/rapp-agent-builder- Version
- 1.0.0
- Auth
- Auth not stated
- License
- License unknown
- Repository
- github.com/kody-w/rapp-chatgpt
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
Rapp Agent Builder MCP server. Agent Mart. https://agentmart.dev/connectors/kody-w-rapp-agent-builder (last updated 2026-10-24)