MT Newswires MCP connector for AI agents

CALL ANY TOOL

6 tools covering delete, create, current.

mtnewswiresmcp_create_rule

Create an alert rule for one or more datasets that sends an

Create an alert rule for one or more datasets that sends an email when the conditions are met. supports single-dataset and cross-dataset rules, multiple conditions combined with and/or logic, and field-to-field comparisons (for example moving-average crossovers).

Parameters

Name

Type

Required

Description

conditions

array

Required

List of structured condition objects evaluated by the rule.

condition_type

string

Optional

Whether all or any of the conditions must be met for the rule to trigger.

mtnewswiresmcp_current_date

Provides the current date. use this to ground relative date

mtnewswiresmcp_delete_rule

Delete an alert rule by its id. use the get rules tool to fi

mtnewswiresmcp_fetch

Retrieve rows of data from a vianexus / mt newswires dataset

mtnewswiresmcp_get_rules

Get all alert rules associated with the user. each rule incl

mtnewswiresmcp_search

Search the available vianexus / mt newswires datasets. pass

Build your Agent

Same auth pattern across every framework.

from langchain_mcp_adapters.client import MultiServerMCPClient
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="mtnewswiresmcp")

mcp = MultiServerMCPClient({
    "mtnewswiresmcp": {
        "url": "https://mcp.scalekit.com/mtnewswiresmcp",
        "headers": {"Authorization": "Bearer " + token}
    }
})
tools = await mcp.get_tools()

import OpenAI from "openai";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "mtnewswiresmcp" });

const openai = new OpenAI();
// Connect to MCP at https://mcp.scalekit.com/mtnewswiresmcp
// Pass: Authorization: Bearer + token

import Anthropic from "@anthropic-ai/sdk";
import { ScalekitClient } from "@scalekit-sdk/node";

const client = new ScalekitClient({ envUrl, clientId, clientSecret });
const token = await client.agent.getToken({ userId: "user_id", connector: "mtnewswiresmcp" });

const anthropic = new Anthropic();
// Connect to MCP at https://mcp.scalekit.com/mtnewswiresmcp
// Pass: Authorization: Bearer + token

from google.adk.agents import LlmAgent
from scalekit import ScalekitClient

client = ScalekitClient(env_url=ENV_URL, client_id=CLIENT_ID, client_secret=SECRET)
token = client.agent.get_token(user_id="user_id", connector="mtnewswiresmcp")
# Connect to MCP at https://mcp.scalekit.com/mtnewswiresmcp
# Pass: Authorization: Bearer + token

Try these prompts

Paste any prompt into your agent to get started.

Get started

Copy the prompt

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Search the available viaNexus / MT Newswires datasets?

Copy the prompt

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Get all alert rules associated with the user?

Advanced

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Copied

Retrieve rows of data from a viaNexus / MT Newswires dataset?

Copy the prompt

Copied

Delete an alert rule by its id?

SEE HOW AUTH WORKS

User authorises once. Every agent call after uses their token with scope enforcement.

1

Authorize

Your user connects

MT Newswires MCP

once. We tie it to their identity and the meetings they approved — no shared bot account, no org-wide access

Who:

user ‘A’

when:

Once per user

access:

Limited to user

2

Store

Their

MT Newswires MCP

token lives in a vault scoped to them. User A's meetings are never reachable by an agent acting for user B, even on the same connection

vault:

encrypted

scope:

per-user

tokens:

auto-refreshed

3

Resolve

When your agent calls a

MT Newswires MCP

tool, we fetch the right token server-side. It never touches your agent, never appears in the LLM context, never shows up in your logs

speed:

~40ms

check:

before every call

seen by:

nobody

4

Audit

Every

MT Newswires MCP

tool call is logged — who triggered it, which meeting was fetched, what came back. 90 days of history, tied to the user who authorized it

history:

90 days

export:

SIEM-ready

logged:

every call

Test other agents

See the same per-user auth pattern across other connectors.

No items found.

Why Scalekit

Secure your agent's access. Connectors ship in minutes

Other connector libraries treat auth as a demo afterthought.

01.

Shared tokens break per-user analytics

A shared token looks fine in a demo. In production every call looks like a service account. Scalekit resolves the real user credential.

// shared token
 audit → bot_service_account

 // scalekit
 audit → user_abc ✓

02.

Authentication is not authorization

03.

Multi-tenancy is architectural

04.

One connector today. Ten tomorrow.

“Our agents act across Salesforce, Gong, Google Drive, and more, on behalf of every customer. Scalekit behind the scenes meant we can keep adding tools without ever rebuilding how credentials or tool calling work.”

Venu Madhav Kattagoni

Head of Engineering / Von

FAQs

Frequently Asked Questions

Does the agent access MT Newswires as the user or as a shared key?
As the user. Each workspace member authorizes once and Scalekit resolves their credential at request time. Audit logs attribute every action to that user, not a shared service account.

Where is the MT Newswires OAuth token stored?
In Scalekit's managed AES-256 token vault, namespaced per tenant. Refresh is automatic. Revocation is a single dashboard action. Tokens never appear in prompts, logs, or LLM context.

Can I limit what the agent is allowed to do in MT Newswires?
Yes. Pass a tool name filter to listScopedTools so the finance agent only sees the subset you authorize. Pre-API-call scope checks block out-of-policy actions before the request reaches MT Newswires.

What happens when a user revokes MT Newswires access?
The connection is invalidated on the next tool call. Subsequent requests for that user fail closed with a clear error. Other users in the tenant remain unaffected. The event is logged for audit.

Is real-time financial news access licensed per user?
Yes. News search and alert rules run with the authorizing user's viaNexus entitlement, so licensing compliance holds and rules stay per analyst.

MT Newswires MCP

MT Newswires MCP tools for AI agents