MCP Server platform

One MCP layer for all your tools.

Connect Slack, GitHub, Notion, Jira, Linear and 100+ other tools via Model Context Protocol. AI agents can make tool calls without you spending weeks per integration.

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[01] The core problem

What slows teams down.

01

100+ tools, no unified context

Your team works in 12 SaaS tools. AI that actually helps must be able to read them. Per-tool API integrations don't scale.

02

API integrations take weeks

Per tool: auth flow, rate limits, schema mapping, error handling. For 5 tools that's a sprint, for 50 a year.

03

LLMs can call tools but know nothing

Function calling works — but you have to wrap every tool yourself. MCP standardises that across the ecosystem.

[02] Use cases

What you build with it.

01

AI assistant with live tool access

Ask "fetch recent issues for project X from Linear" and the AI makes the call, gets the data, formats the answer. Live, no copying.

02

Cross-tool workflows

Slack message detects customer feedback → creates Linear ticket → notifies #product. All via MCP tools, no Zapier.

03

Agentic RAG

AI decides which tool to use: Notion for docs, GitHub for code, Jira for tickets. Hybrid with the RAG layer for context.

[03] How TalkWithData solves it

What a good MCP layer delivers.

01

100+ MCP connectors

Slack, GitHub, Notion, Jira, Linear, Salesforce, HubSpot, Drive, SharePoint, Dropbox, Confluence, ClickUp, Asana, Trello and more.

02

Auth flows + token refresh

OAuth2, API keys, custom headers — we manage tokens, refresh cycles, scopes. Audit logs per tool call.

03

Logging and audit

Which user, which tool, which argument, which response. Exportable for compliance. Per-call rate limiting.

[04] Frequently asked

Answers, not bullet points.

Model Context Protocol — an open standard by Anthropic for how LLMs talk to tools. Like USB-C for AI integrations: one standard, many tools.
Yes. Custom MCP servers can be registered in the dashboard. We handle auth, you define the tools.
Graceful degradation: AI gets an error back, can inform the user or fall back to the RAG knowledge base.

Stop the integration grind.

One MCP layer for your whole stack. Free trial.