MCP Server Development: Let AI Assistants Use Your App Safely (New Service)
This is a new service. I build a Model Context Protocol (MCP) server so AI assistants such as Claude or ChatGPT can use your product through your existing API. It starts read-only, and writes need the user’s confirmation. It is for SaaS teams with a working API. Prices start from $960 ($720 founding), taking about 2–5 weeks.
See a sample report, proposal and weekly update- Price
- from $960
- Founding
- from $720
- Timeline
- ~2 weeks
- Format
- Fixed scope, fixed price
- Hours
- US Eastern Time, async
Who this is for.
A good fit if
- SaaS products with a documented API whose users already work inside AI assistants.
- Teams that want a small, safe first step for AI agents before any bigger AI features.
- Products whose customers ask, “Can I use this from Claude?”
Common triggers
- Customers asking for an AI assistant integration.
- A competitor listed in an assistant’s connector directory.
- Internal teams wanting to query the product from their assistant.
Not a fit if
- You don’t have an API yet. Start with Technical Spec & API Design.
- You want agents to take unreviewed actions on money, deletions or customer data.
- You need it running 24/7 with an uptime commitment from me.
What I do, and what you get.
What I do
- Pick the few actions worth exposing, starting with reads.
- Design each tool with a clear name, description and input schema so the model uses it correctly.
- Build the server on the official MCP SDK in your stack, calling your existing API.
- Scope access per user: the assistant can only see what that user can see.
- Mark write tools and require the user to confirm them. Log every tool call.
- Test with the MCP Inspector and at least one real assistant client.
What you get
- An MCP server in your repo, with tests.
- A tool list with descriptions, input schemas and permission notes.
- Setup instructions for users (local and remote connection).
- Standard/Plus: authentication, confirmed write tools, and an audit log.
- Plus: remote hosting on your infrastructure with OAuth sign-in.
- Handover notes, including a list of risks and how each is handled.
Your part
- A working API with test credentials and a staging environment.
- A decision on which actions agents may take.
- Hosting for the remote server (Plus), and any assistant or API costs.
Included
- Tool design and MCP server build
- Read-only tools first; confirmed writes (Standard/Plus)
- Per-user access scoping
- Tests with Inspector and a real client
- OAuth remote server (Plus)
Not included
- Building your underlying API
- Unconfirmed destructive actions
- Directory listing approval (their decision)
- 24/7 hosting or monitoring
- LLM or hosting costs
Fixed prices, agreed before work starts.
Up to 5 read-only tools over your existing API, local server, tests
Up to 12 tools, API-key or token auth, confirmed write tools, audit log
Standard plus remote hosting on your infrastructure with OAuth sign-in. Billed in monthly milestones.
Build your scope
- Timeline
- ~2 weeks
- Payment
- Paid in full before work starts
- Earliest start
- Oct 5
Founding price: 3 of 7 spots left, until Mar 31, 2027 — one-off work, in return for a testimonial. How it works
Prices are in USD, paid by bank transfer against an invoice. Work under $1,000 is paid upfront; larger work is 50% to start and 50% before handover, or monthly milestones. How working together works
Variations
- Local (stdio) server
- For internal teams and technical users. This is the simplest option.
- Remote (HTTP) server
- For customers, with sign-in through OAuth (Plus).
- Laravel, TypeScript, Python or Go
- Built on the official SDK for your stack.
How it runs.
- 01
Email the template
Email the template below, and I reply within 1 US business day.
- 02
Tool shortlist and proposal
I send a shortlist of tools and a proposal.
- 03
Build on staging
I build and test the server on staging.
- 04
Try it together
We try it in a real assistant together.
- 05
Hand over
I hand over, with setup docs for your users.
Where I have done this before.
- Seven read-only tools: find a service, prices and plans, availability and terms, a stack checker, end-of-life dates and case studies.
- Works in Claude, ChatGPT, Cursor and VS Code over Streamable HTTP, from the same data as these pages.
- Stateless and rate-limited, with typed inputs and nothing private reachable — the same boundaries I set for clients.
Questions buyers ask.
What is MCP?
An open protocol that lets AI assistants call tools in your product in a standard way.
Is it safe?
It’s as safe as the scope allows. Tools start read-only, writes need confirmation, and each user only reaches their own data. Every call is logged.
Which assistants work?
Any client that supports MCP. I test with at least one.
Why is this new?
MCP is young, and this is a new service for me. The price reflects that, and the scope stays small. My approach builds on API work I’ve shipped: a partner API with signed webhooks and role-based access, and LLM pipelines with strict validation.
Who hosts it?
You do, on your own infrastructure. I can set it up (Plus).
Ask about AI Agent Interface (MCP Server).
Tell me what you have and where it hurts. I reply within one US business day with either a fixed quote or the entry step that makes a fixed quote possible.
Helpful to include
- Product
- API docs link
- The actions you want agents to use
- Who uses it (internal or customers)
- Your auth system
- Stack
- Deadline
- Budget range
More in Product & API Design
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Partner API & Developer Docs
I get your API ready for outside developers: API keys, rate limits, versioning, signed webhooks, and a docs site partners can build against without emailing you. It is for SaaS teams opening their product to partners, marketplaces or customers. Prices start from $780 ($600 founding), and the work takes about 2–5 weeks.