Wiring every agent to every system does not scale.
Each direct integration is a promise of permanent maintenance. We build custom MCP servers that centralise how your agents reach your systems, with a tool contract and a schema validated on every call.
02 / Why point-to-point integrations stop scaling
Why point-to-point integrations stop scaling
- 01
The N×M connector explosion
Every new agent that has to talk to every new system is a separate integration. Five agents and six systems is already thirty connections, each with its own authentication, its own retry logic and its own way of failing.
- 02
No record of who did what
A direct connection between an agent and a database leaves no structured record of which query ran, when, and with what result. When something goes wrong, reconstructing it depends on whatever happened to end up in the application logs.
- 03
All-or-nothing permissions
Without a layer in between, an agent wired straight into a system usually inherits a service account with full access, rather than the narrow set of actions its task actually requires. Nobody designed that scope for the agent; it was already there.
- 04
Vendor lock-in by wiring
Hard-coding an agent against a model provider's proprietary SDK ties the architecture to that provider. Changing models then means rewriting every integration instead of changing one line of configuration.
- 05
No single place to cut
When a system starts failing, or an agent's access has to be revoked in a hurry, point-to-point integrations leave no single switch. Someone has to go find each connection and disable it individually, under time pressure.
03 / How we build it
How we build it
- 01
discovery
Inventory of systems, the actions needed, and which agents need them
- 02
tool design
Each action defined as an MCP tool with an input and output schema
- 03
mcp server
Server implemented to expose those tools over the standard protocol
- 04
per-agent scope
Each agent receives only the tools and the scope its task requires
22 ms
- 05
invocation
The agent calls a tool; the server validates the schema, then executes
95 ms
- 06
logging
Every call, its caller and its result written to the audit log
18 ms
- 07
revocation
Access to one tool or one whole system cut at the server, without touching other agents
04 / Integrations
Integrations
Salesforce
SAP
PostgreSQL
Snowflake
Jira
Confluence
Dynamics 365
Google Workspace
05 / Guarantees
Guarantees
- 1
- Server replacing point-to-point integrationsOne connector per system, not one per agent-system pair
- 135 ms
- p50 latency per tool call
- 100 %
- Tool calls with a validated input and output schema
- 0
- Integrations to rewrite when the model or provider changes
06 / Compliance
Compliance
Auditable record of every tool call an agent executes
EU AI Act, traceability obligations, applicable from 2 August 2026
Input and output schema validated before any tool call reaches the target system
GDPR art. 5(1)(c), data minimisation
Data and credentials hosted inside the European Union
GDPR, chapter V
Architecture and logs prepared for market surveillance inspection of high-risk AI systems
EU AI Act art. 99(4), penalties of up to EUR 15M or 3 % of global annual turnover
07 / Process
Process
- 1-2
System and action inventory
We map the systems agents need to reach and the specific actions they must be able to execute in each. The list is almost always shorter than the access currently granted.
- 2-3
MCP tool design
Each tool specified with its input schema, its output schema and the permission scope that belongs to it, reviewed with the owner of the system behind it.
- 3-6
Server implementation
The MCP server itself, per-agent authentication, and the connections to the source systems, built behind the credentials your security team already governs.
- 6-7
Logging and observability
Audit log in production and alerting on calls that fall outside the expected pattern, so an anomaly surfaces before it becomes an incident report.
- ongoing
Operation
New tools and new agents added on the same infrastructure, without a new point-to-point integration each time.
08 / Frequently asked questions
Frequently asked questions
- What is an MCP server, and why not just build an internal API?
- The Model Context Protocol standardises how an agent discovers and calls tools, with explicit schemas and permissions. A generic internal API defines no such contract, so every model and every agent ends up integrating differently.
- How many systems justify building an MCP server?
- The crossover is usually three or four systems reached by more than one agent. Below that a direct integration can be enough; above it, the cost of maintaining loose connectors grows faster than the cost of the server.
- Does an MCP server replace our existing middleware or ESB?
- Not necessarily. It can sit alongside it, exposing as MCP tools the operations your agents need, without rewriting integrations that already work for other consumers.
- How do you control what each agent can do?
- Each agent authenticates against the server with its own identity, which determines which tools it can see and what scope it has inside each one. It shares credentials with no other agent and with no batch process.
- What happens if an agent attempts something outside its scope?
- The server rejects the call before it reaches the target system and records the attempt. Access control does not depend on the model deciding correctly; it depends on the server.
- Does MCP tie us to one model provider?
- The opposite: it is the mechanism that avoids that dependency. Any MCP-capable model can use the same tools without the integration being rewritten underneath it.
- How long until the server is in production?
- Six to seven weeks for a first set of systems and agents, extended afterwards without rebuilding the base infrastructure.
09 / Related services
Related services
Your RAG is not failing on the model. It fails on ingestion.We build custom RAG systems for organisations that need citable answers rather than plausible approximations, and we measure them against a question set with known answers.
Automating a broken process does not fix it. It speeds it up.Before a single line of automation is written, we document the process as it is actually executed: the exceptions, the manual steps and the criteria that exist only in one person's head.
Services
10
Tell us which process to fix
Describe the process and the systems behind it. You get back a technical proposal — architecture, timeline and acceptance criteria — not a service catalogue.
Email hola@teledi.ai