# How to integrate HLR Lookup MCP with Hermes

```json
{
  "title": "How to integrate HLR Lookup MCP with Hermes",
  "toolkit": "HLR Lookup",
  "toolkit_slug": "hlr_lookup",
  "framework": "Hermes",
  "framework_slug": "hermes-agent",
  "url": "https://composio.dev/toolkits/hlr_lookup/framework/hermes-agent",
  "markdown_url": "https://composio.dev/toolkits/hlr_lookup/framework/hermes-agent.md",
  "updated_at": "2026-10-29T05:32:38.629Z"
}
```

## Introduction

Hermes is a 24/7 autonomous agent that lives on your computer or server — it remembers what it learns and evolves as your usage grows.
This guide explains the easiest and most robust way to connect your HLR Lookup account to Hermes. You can do this through either Composio Connect CLI or Composio Connect MCP. For personal use we recommend the CLI, but you won't go wrong with MCP either.

## Also integrate HLR Lookup with

- [ChatGPT](https://composio.dev/toolkits/hlr_lookup/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/hlr_lookup/framework/claude-cowork)
- [Atomic Agent](https://composio.dev/toolkits/hlr_lookup/framework/atomic-agent)

## TL;DR

### What is Composio Connect?
Composio Connect is a consumer offering that lets anyone plug 1,500+ applications directly into their agent harness — including Hermes. It can:
- Search and load tools from relevant toolkits on-demand, reducing context usage.
- Chain multiple tools to accomplish complex workflows via a remote workbench, without excessive back-and-forth with the LLM.
- Manage app authentication end-to-end with zero manual overhead.

## Connect HLR Lookup to Hermes

### Integrating HLR Lookup with Hermes
### Using Composio Connect CLI
1. Install the Composio CLI
Run the install script directly, or paste https://composio.dev/hermes into your Hermes chat box to have it installed for you.

```bash
curl -fsSL https://composio.dev/install | bash
```

## What is the HLR Lookup MCP server, and what's possible with it?

The HLR Lookup MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your HLR Lookup account. It provides structured and secure access to phone validation, HLR status checks, network and portability data, credit balances, and bulk processing, so your agent can validate phone numbers, check live phone status, identify mobile networks, manage lookup batches, and monitor available credits on your behalf.
- Phone number validation: Have your agent validate up to 80 phone numbers at once and check their formatting and original network information.
- HLR and network checks: Direct your agent to run live HLR lookups or retrieve mobile network and number portability data for up to 80 phone numbers.
- Bulk lookup management: Let the agent create batches, upload phone numbers from JSON or CSV files, start or resume processing, pause work, and schedule a batch for a specific UTC time.
- Batch progress and results: Instruct your agent to list batches, check their current progress, and download completed results as CSV or JSON files.
- Credit balance monitoring: Have your agent check the remaining credit balance in your HLR Lookup account before running phone checks.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HLR_LOOKUP_CHECK_PHONE_STATUS` | Check Phone Status | Run full HLR lookups for 1-80 phone numbers. This processes sensitive phone data and spends credits; optional status features can increase the cost. |
| `HLR_LOOKUP_CREATE_BATCH` | Create Batch | Create an empty persistent HLR_V2 batch. Creation has no documented charge and handles no phone data; later uploads persist sensitive phone data, and processing can spend credits. |
| `HLR_LOOKUP_DELETE_BATCH` | Delete Batch | Permanently delete one HLR batch and its results. This action is irreversible: never invoke it without explicit authorization, and download all needed results before deletion. It does not select a batch automatically. |
| `HLR_LOOKUP_DOWNLOAD_BATCH_RESULTS` | Download Batch Results | Download a completed batch's full, unpaginated CSV or JSON result export, including source phone values and sensitive HLR intelligence, as a file reference. Select the required format explicitly. |
| `HLR_LOOKUP_GET_BALANCE` | Get Credit Balance | Return the connected HLR Lookup account's remaining credit balance. This zero-credit read is the approved authentication check and does not process a phone number. |
| `HLR_LOOKUP_GET_BATCH` | Get Batch | Return metadata and current progress for one HLR batch. Use it to follow an asynchronous batch until status is COMPLETE. |
| `HLR_LOOKUP_LIST_BATCHES` | List Batches | List the connected account's HLR batches with their metadata and progress. The response reports provider offset and limit values, but the API documents no pagination inputs. |
| `HLR_LOOKUP_MNP_LOOKUP` | Run MNP Lookup | Look up network and mobile-number-portability data for 1-80 phone numbers. This processes sensitive phone data and spends credits; requesting the optional ported date is the only MNP feature that can add a surcharge. |
| `HLR_LOOKUP_PAUSE_BATCH` | Pause Batch | Pause processing one HLR batch. This action returns when the command is accepted and does not poll for a status change. |
| `HLR_LOOKUP_SCHEDULE_BATCH` | Schedule Batch | Schedule processing of one uploaded HLR batch at a UTC time. Scheduled processing of sensitive phone data can irreversibly spend credits, so never invoke this action automatically. This action does not poll for processing or completion. |
| `HLR_LOOKUP_START_OR_RESUME_BATCH` | Start or Resume Batch | Start or resume processing one uploaded HLR batch. Processing sensitive phone data can irreversibly spend credits, so never invoke this action automatically. This action returns when the command is accepted and does not poll for completion. |
| `HLR_LOOKUP_UPLOAD_BATCH_CSV` | Upload Batch CSV | Upload a CSV file of sensitive phone data into an empty HLR batch. The provider permits one source upload; repeating it on a populated batch is documented to fail. |
| `HLR_LOOKUP_UPLOAD_BATCH_JSON` | Upload Batch Phone Numbers | Upload 1-100,000 sensitive phone numbers into an empty HLR batch as a compact JSON array. The UTF-8 body must not exceed 2 MiB, and a populated batch cannot be uploaded again. |
| `HLR_LOOKUP_VALIDATE_NUMBER` | Validate Phone Numbers | Validate formatting and original-network information for 1-80 phone numbers without a live HLR lookup. It costs zero credits but still processes sensitive phone data. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The HLR Lookup MCP server provides comprehensive access to HLR Lookup operations through Composio. Once connected, Hermes can perform all major HLR Lookup actions on your behalf using natural language commands.

## Complete Code

None listed.

## Conclusion

### Way Forward
With HLR Lookup connected, Hermes can now act on your behalf whenever it detects a relevant task or you ask it to.
From here, you can extend Hermes further:
- Connect more apps: Calendar, Slack, Notion, Linear, and hundreds of others are available through the same Composio Connect setup. Each new integration compounds what Hermes can do for you.
- Build workflows across tools: Once multiple apps are connected, Hermes can chain actions together — turn an email into a calendar invite, a Slack message into a Linear ticket, or a meeting note into a follow-up draft.
- Let it learn your patterns: The more you use Hermes, the better it gets at anticipating how you'd handle recurring tasks. Give it feedback on drafts and decisions, and it will adapt.
If you run into trouble or want to share what you've built, join the [community](https://discord.com/invite/composio) or check out the [Docs](https://docs.composio.dev?utm_source=toolkits&utm_medium=framework_template&utm_campaign=hermes&utm_content=docs) for deeper configuration options.

## How to build HLR Lookup MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/hlr_lookup/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/hlr_lookup/framework/claude-cowork)
- [Atomic Agent](https://composio.dev/toolkits/hlr_lookup/framework/atomic-agent)

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- [Backendless](https://composio.dev/toolkits/backendless) - Backendless is a backend-as-a-service platform for mobile and web apps, offering database, file storage, user authentication, and APIs. It helps developers ship scalable applications faster without managing server infrastructure.
- [Baserow](https://composio.dev/toolkits/baserow) - Baserow is an open-source no-code database platform for building collaborative data apps. It makes it easy for teams to organize data and automate workflows without writing code.
- [Bench](https://composio.dev/toolkits/bench) - Bench is a benchmarking tool for automated performance measurement and analysis. It helps you quickly evaluate, compare, and track your systems or workflows.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and HLR Lookup MCP?

With a standalone HLR Lookup MCP server, the agents and LLMs can only access a fixed set of HLR Lookup tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from HLR Lookup and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Hermes?

Yes, you can. Hermes fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right HLR Lookup tools.

### Can I manage the permissions and scopes for HLR Lookup while using Tool Router?

Yes, absolutely. You can configure which HLR Lookup scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your HLR Lookup data and credentials are handled as safely as possible.

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