Custom MCP Server Development

We build custom MCP servers that give AI systems secure access to your internal systems, proprietary data, chains and smart contracts. Every tool uses strict schemas, validated inputs and authenticated calls, with secrets and signing kept outside the model. Servers ship with versioned schemas, observability and operational runbooks.

How it works

1
Map the connections
We define which agents, systems and chains the server needs to connect to, along with the events and actions that must be logged.
2
Define the scope
We agree which resources, prompts and tools belong in the server, and what stays out.
3
Write the tool contracts
We set schemas, input validation, authentication and authorization, and draw the signing boundary.
4
Build the hardest connector first
We take the most complex system or chain interaction and exercise it with a real MCP client.
5
Feed it adversarial input
We send malformed calls, injection attempts, permission probes and dependency failures every week.
6
Verify agent usability
We measure tool selection, schema clarity and error handling against your real agent workflows.
7
Ship it as infrastructure
We deliver versioned schemas, observability, audit logs and runbooks, and keep high-impact tools approval-gated.

Frequently asked questions

What is an MCP server and why would we need a custom one?

Model Context Protocol is an open standard for exposing tools, data and prompts to AI systems consistently. A custom MCP server is needed when the capability an agent must reach is your own: an internal system, a proprietary dataset, a specific chain or contract, or an action that must be governed by your own permission and approval rules. Off-the-shelf servers rarely carry those constraints.

How do you keep an MCP server secure?

Security is enforced in the tool contracts and the access layer, not in the model. LimeChain applies least privilege per tool, strict schema validation on every input, authentication and authorization on every call, secrets and signing kept outside the model's reach, rate and cost limits, human approval for high-impact actions, structured audit logging, and defined behaviour for malformed or adversarial inputs.

What is different about an MCP server that touches a blockchain?

Blockchain actions are frequently irreversible, so chain identity, contract ABIs, transaction simulation before signing, finality handling, nonce and concurrency management, gas limits and signing authority all become explicit parts of the tool contract. LimeChain separates read tools from write tools, keeps signing behind deterministic checks or human approval, and treats every state-changing tool as high impact by default.

Can you connect an MCP server to our internal systems?

Yes. Connecting internal systems is the common reason for a custom server, and the work covers authentication into those systems, mapping their capabilities into clean tool schemas, enforcing your own permission model at the boundary, handling their failure modes gracefully, and deciding what data the agent may see. Integration constraints normally shape the server design more than the MCP layer itself.

Will the server keep working as MCP and the models evolve?

That is handled as lifecycle management rather than left to chance. LimeChain versions tool schemas, tests against supported clients, maintains backward compatibility where possible and documents migration where it is not, and monitors usage and failures in production. LimeChain can continue maintaining connectors, updating chain and provider compatibility, evolving schemas and managing graceful upgrades or decommissioning.

How do you know the tools are actually usable by an agent?

A server can be technically correct and still unusable, because a model may not understand when to call a tool or how to read its output. LimeChain therefore evaluates the server against the target agent workflows, measuring whether tools are selected correctly, whether schemas and descriptions are clear enough, and whether errors are interpretable. Schema and description quality are treated as engineering deliverables.

Rollup.codes

Matchstick

Gomu Gomu no Gatling

Gosemble

GiantSquid

Fruzhin

Polkadot Conformance Testing Suite

Hedera SDK

Hedera JSON RPC Relay

Hedera Local Node

Hedera Multisig

SOLmany Validators

Solana Transaction Tool

Gimlet

Zest

NEAR Javascript API

Custom MCP Server Development

How it works

Map the connections

Define the scope

Write the tool contracts

Build the hardest connector first

Feed it adversarial input

Verify agent usability

Ship it as infrastructure