Service
MCP integrations
MCP is useful when an agent needs a disciplined interface to external context and tools. The hard part is not exposing everything. It is exposing the right capabilities with names, schemas, logs, and boundaries the model can use.
iftodo designs MCP servers and client integrations around real workflows: retrieval, internal APIs, file systems, business tools, review gates, and action logs. The work stays practical: fewer tools, clearer contracts, stronger tests.
Where this fits
- You want agents to use internal systems without brittle scraping or pasted context.
- You need tool schemas and prompts that guide the model toward safe, repeatable calls.
- You already have APIs or data sources, but not an agent-friendly boundary around them.
What gets delivered
- 01
MCP capability map with tool names, input schemas, permission boundaries, and logging needs.
- 02
Server or adapter implementation for selected tools, with typed validation and failure responses.
- 03
Integration tests, example agent prompts, and operational notes for running the connector.
What I need from you
- Target workflows and the systems the agent must read or act in.
- API documentation, sandbox credentials, sample data, and security constraints.
- Examples of wrong or risky tool use that the design should prevent.
How the work runs
- 01
Start from the agent task, then design the smallest tool surface that can support it.
- 02
Make names, descriptions, and schemas boringly explicit so the model knows when not to call a tool.
- 03
Test success, denial, malformed input, upstream failure, and review-required paths.
Acceptance and evaluation
- The agent can complete agreed tool-backed scenarios without hidden manual steps.
- Bad inputs and unauthorized actions fail closed with useful explanations.
- Logs show which tool was called, with what validated input, and what result came back.
Evidence and work
Common questions
- Do you build new MCP servers or connect existing ones?
- Both are possible. I can wrap an internal API, adapt an existing connector, or design a smaller server for a specific agent workflow.
- How do you keep tools from being too powerful?
- The tool surface is intentionally narrow. Risky actions get explicit schemas, policy checks, human review, or separate authorization outside the model.
- Can this run without changing our main app?
- Often yes. Many integrations can run as a sidecar or service account boundary, but the final shape depends on your security and deployment model.