Hosted MCP for AI agents
Public web data.
Ready for your agent.
Connect your agent to structured public web data. Discover endpoints, inspect their costs and bring source-linked results into your workflow—all through one hosted MCP connection.
- Claude Code
- Codex
- Cursor
- Windsurf
- VS Code
Public data through the API150 free credits · No card required
claude mcp add --transport http --scope user monocrawl https://www.monocrawl.com/mcp --header "x-api-key: mn_your_key_here"Replace mn_your_key_here with your API key locally. This adds a personal server; use /mcp in Claude Code to check it. Keep the key out of shared files and screenshots.
Claude Code setup referenceUse your own key. Never commit it to your repository.
- platforms in the catalogue
- 74
- discoverable endpoints
- 622
- MCP tools
- 12
Browse endpoints and inspect parameters before requesting data. API key required.
Counts come from the active endpoint registry. Catalogue inclusion is not a guarantee of live availability. Explore coverage
From prompt to evidence
A question in. Sourced results out.
Your agent discovers the route, inspects the parameters and brings back data it can cite.
Interactive walkthrough using public Reddit sources checked 9 Sep 2026. Example tool responses, not a recorded MCP run.
The tool surface
One connection. 12 focused tools.
Discovery & requests
call_endpoint- Request structured data from an endpoint.
list_endpoints- Discover platforms and search the endpoint catalogue.
get_endpoint- Inspect parameters, credit costs and a request example.
get_balance- Check the account’s remaining credits.
Monitors
list_monitors- List the account’s monitors and schedules.
get_monitor- Inspect one monitor and its recent runs.
create_monitor- Preview a watch, then confirm its creation.
update_monitor- Pause, resume or edit a monitor.
run_monitor- Estimate and confirm an immediate check.
monitor_findings- Read findings with evidence links.
mark_monitor_findings_seen- Mark monitor findings as seen
delete_monitor- Confirm removal of a monitor.
Spend deliberately
Give the agent a key.
Set its limit.
Create a dedicated API key with a lifetime credit cap. Revoke it whenever you need to stop access.
- Approvals live in your client. Ordinary API calls can spend credits immediately. Enable tool approval in your agent’s settings.
- Monitors have their own monthly caps. Scheduled checks use the account balance, separately from the creating key’s lifetime cap.
mn_••••••••••••Lifetime credit capFurther charged requests are rejected if they would exceed this key’s cap.
Interactive illustration · Does not change your accountPut it to work
Give your agent a useful next task.
Research brand mentions
“Find recent discussions about my brand and link the original posts.”
Discover → inspect → requestInspect creator activity
“Compare public profiles and recent content for my creator shortlist.”
Profiles → posts → your analysisMonitor competitor changes
“Preview a daily competitor watch and show me the estimated cost.”
Preview → confirm → findingsPlan your integration
Know the scope.
Sources and availability
Use a compatible Streamable HTTP MCP client, including supported coding-agent setups, or call REST from Python, TypeScript and HTTP-based workflow tools such as n8n.
What to keep in mind
Ordinary endpoint calls can spend credits immediately. Configure approval in your agent client if you need it. Retrieved web content is untrusted input, not instructions for your agent to follow.
Questions, answered
About ai agents & workflows.
What is the Monocrawl MCP server?
It is a hosted Model Context Protocol endpoint that exposes tools for API discovery, requests, balance and monitors. It uses the same account key and underlying API metering, so you do not need a separate scraping integration for every platform.
Can I use Monocrawl with an HTTP workflow instead?
Yes. Use the REST API from your own application or a standard HTTP Request node in a workflow tool. Store the API key in a server-side environment or credential store, not in a public page or shared prompt.
Does an agent need permission before spending credits?
Ordinary call_endpoint requests execute immediately and may spend credits. Set approvals in your client if required. Dedicated create, run and delete monitor tools have confirmation semantics documented in the MCP reference.
Does Monocrawl produce an AI research briefing?
These integrations provide tools and structured public data for your own agent. They do not promise a finished AI briefing or an accurate conclusion. Your application should inspect source evidence, handle incomplete results and validate the agent’s output.
Start with a real request
Try the data. Then build the workflow.
150 free credits. No card required. No subscription.