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Bland MCP connector

The Bland connector brings your AI phone calls, recordings, transcripts and voices into Claude, ChatGPT, Cursor, Microsoft Copilot and the Elaichi Agent, so your team can place, review and stop Bland calls from the tools they already use.

  • Connects with an API key
  • Free 14-day trial
  • No credit card
Claude Elaichi connected

Summarize yesterday's Bland calls by outcome.

Working in Bland with Elaichi

  • List all Bland calls
  • Bland calls list active
  • Get single Bland call by ID
Ask anything…
Governance / Audit log Last 24 hours
Bland Get single Bland call by ID Emily Carter · Claude · 9:41 AM Done
Bland Bland calls list active Emily Carter · Claude · 9:41 AM Done
Bland List all Bland calls Emily Carter · Claude · 9:41 AM Done
Bland Bland calls send simple pathway Megan Brooks · ChatGPT · 9:38 AM Done
Bland Bland calls analyze Ryan Hayes · Cursor · 9:35 AM Done

How to connect Bland to Claude, ChatGPT, Cursor or Microsoft Copilot

Step by step, for each AI app

Bland MCP connector for Claude

  1. 1

    Open Customize, then Connectors.

  2. 2

    Press Add.

  3. 3

    Name it, paste the MCP server URL, then Continue.

    https://api.elaichi.ai/mcp
  4. 4

    Sign in and approve.

On Team and Enterprise, an Owner adds it once. Everyone else turns it on for themselves.

Bland MCP connector for Claude Code

  1. 1

    In a terminal, run claude mcp add with the endpoint.

    https://api.elaichi.ai/mcp
  2. 2

    Start Claude Code and run /mcp.

  3. 3

    Pick elaichi, then sign in and approve in the browser.

Terminal

$ claude mcp add --transport http elaichi --scope user https://api.elaichi.ai/mcp

Use --scope project instead to share it with the repository through .mcp.json.

Bland MCP connector for ChatGPT

  1. 1

    Open Plugins, then press the + button.

  2. 2

    Name it and paste the endpoint into Server URL.

    https://api.elaichi.ai/mcp
  3. 3

    Leave Authentication on OAuth, then tick the risk acknowledgement.

  4. 4

    Press Create, then sign in and approve.

Works on the web. The plugin directory lives at chatgpt.com/plugins.

Bland MCP connector for Cursor

  1. 1

    Open ~/.cursor/mcp.json.

  2. 2

    Add the endpoint under mcpServers.

    https://api.elaichi.ai/mcp
  3. 3

    Reload Cursor, then sign in and approve.

~/.cursor/mcp.json

{
  "mcpServers": {
    "elaichi": {
      "url": "https://api.elaichi.ai/mcp"
    }
  }
}

Set up per machine, so repeat it on each computer you work from.

Bland MCP connector for Microsoft Copilot

  1. 1

    In Copilot Studio, open your agent, then Tools, Add a tool, New tool and Model Context Protocol.

  2. 2

    Paste the endpoint into Server URL, choose OAuth 2.0, then Dynamic discovery, and press Create.

    https://api.elaichi.ai/mcp
  3. 3

    Create a new connection, sign in and approve, then press Add to agent.

  4. 4

    Under Channels, open Teams and Microsoft Copilot and make the agent available in Microsoft Copilot.

Server URL
https://api.elaichi.ai/mcp
Authentication
OAuth 2.0
Type
Dynamic discovery

Microsoft Copilot was called Microsoft 365 Copilot. Keep the tool on end-user credentials, so each person signs in as themselves.

Connect Bland to any MCP client

  1. 1

    Add the endpoint as a remote MCP server.

    https://api.elaichi.ai/mcp
  2. 2

    Sign in and approve.

{
  "mcpServers": {
    "elaichi": {
      "url": "https://api.elaichi.ai/mcp"
    }
  }
}

The Elaichi Agent already has these tools, with nothing to set up.

What teams do with Bland through Elaichi

Ask in plain English. Each person’s AI can do only what they’re allowed to, and every action it takes in Bland is logged.

  • Sales

    Call a fresh lead the moment it arrives

    Kick off a Bland call down an existing pathway to a new lead, then ask for the transcript and a summary of what they said once the call ends.

  • Support

    Find out how a callback went

    Pull up a specific Bland call, read the corrected transcript, and check whether the customer's issue was resolved or needs a human follow up.

  • Operations

    See what is on the phones right now

    List every active Bland call, listen in on one that looks stuck, transfer it to a person, or stop all active calls if a campaign was launched by mistake.

  • Quality

    Review recordings without opening a dashboard

    Ask for yesterday's Bland calls, run the analysis on the ones that ran long, and collect the recordings that need a second listen.

  • Marketing

    Pick and tune the voice for a campaign

    Compare the Bland voices available on your account, rate the ones you tested, rename the finalists, and adjust the settings before an outbound push.

  • Engineering

    Keep post-call results flowing downstream

    Check which Bland post-call webhooks are set up, add one for a new system, and resend a delivery that your CRM missed.

Try asking

  • “Summarize yesterday's Bland calls by outcome.”
  • “Pull the corrected transcript for last night's longest call.”
  • “Which Bland calls are active right now?”

See all 133 Bland tools →

What connecting Bland gets you

6 screens from Elaichi, each doing one job for your Bland account.

Elaichi Agent

Ask Elaichi to work across your apps.

Summarize yesterday's Bland calls by outcome.

Pull the corrected transcript for last night's longest call.

Which Bland calls are active right now?

Also runs in Claude, ChatGPT, Cursor or Microsoft Copilot

The agent

Ask about Bland calls in plain language.

Answers come from live Bland calls, transcripts and recordings, not stale exports.

ElaichiAI apps
Claude ChatGPT Cursor Microsoft Copilot

Copy the endpoint

https://api.elaichi.ai/mcp
Client Connected by Status Last used
Claude
E

Emily Carter

• Connected 4 minutes ago
Cursor
M

Megan Brooks

• Connected 2 hours ago
ChatGPT
R

Ryan Hayes

• Connected Yesterday

AI apps

Claude, ChatGPT, Cursor and Microsoft Copilot reach Bland.

One governed MCP endpoint for Bland, no SDK and no shared API key.

ElaichiTools
Tool Action Description
Bland calls send simple pathway Send Send a call using a conversational pathway in Bland AI. The phone number is dialed and the specified pathway guides the conversation. Returns: status, call_id. Required: phone_number, pathway_id. Country code defaults to +1 if not specified; use E.164 format for best results.
Bland calls analyze Action Analyze a completed call with AI in Bland AI using a goal and a set of questions. Returns: status, message, answers, credits_used, metadata. Required: call_id, goal, questions. Each question is an array of [question_text, expected_answer_type]; unanswerable questions default to null.
Bland calls stop Stop Stop an active call in Bland AI by call_id. Returns: status, message. Required: call_id.
Bland calls listen Action Start a live listen session for an active call in Bland AI, returning a WebSocket URL for real-time audio streaming. Returns: status, data, errors. Required: call_id. Live listen must be enabled in organization preferences and the call must be in active status.
Bland calls stop all active Stop Stop all active calls in Bland AI for the authenticated organization. Returns: status, message, num_calls. The operation is asynchronous and may take some time to complete.

Tool catalog

133 Bland tools land ready to call.

Calls, transcripts, recordings and webhooks are covered without a line of custom code.

ElaichiToolboxes
Name Source template Tools Created

Support toolbox

Bland · active calls and transfers

Bland starter 18 Mar 4, 2026

Sales toolbox

Bland · outbound calls and outcomes

— 9 Mar 2, 2026

Quality toolbox

Bland · transcripts and recordings

— 24 Feb 27, 2026

Compliance toolbox

Bland · recordings and call records

Bland starter 6 Feb 19, 2026

Engineering toolbox

Bland · postcall webhooks and event streams

— 31 Jan 30, 2026

Operations toolbox

Bland · call volume and pathways

— 12 Jan 22, 2026

Toolboxes

Every team gets its own Bland toolbox.

Support, sales and compliance each work from a toolbox curated for their remit.

ElaichiConnections
Connection Scope Status Access
BL

Bland (Support EMEA)

Connected by Emily Carter

Personal • Active 1 team · 6 members
BL

Bland (Sales US)

Connected by Jake Morgan

Organization • Active 3 teams · 24 members
BL

Bland (Quality review)

Connected by Megan Brooks

Organization • Active 2 teams · 11 members
BL

Bland (Compliance archive)

Connected by Tyler Reed

Personal • Needs re-auth 1 team · 3 members
BL

Bland (Engineering sandbox)

Connected by Ryan Hayes

Personal • Active Not shared
BL

Bland (Operations central)

Connected by Ashley Parker

Personal • Active 2 teams · 9 members

Shared connections

Teammates use Bland without touching credentials.

Each Bland connection shows who connected it and which teams and members share it.

ElaichiAudit log
When Who What happened Type

2 minutes ago

Mar 6, 2026, 3:10 PM

E

Emily Carter

[email protected]

Restriction Created Access

8 minutes ago

Mar 6, 2026, 3:04 PM

J

Jake Morgan

[email protected]

Restriction Updated Access

14 minutes ago

Mar 6, 2026, 2:58 PM

M

Megan Brooks

[email protected]

Role Assigned Access

20 minutes ago

Mar 6, 2026, 2:52 PM

T

Tyler Reed

[email protected]

Bland Users Updated MCP

26 minutes ago

Mar 6, 2026, 2:46 PM

R

Ryan Hayes

[email protected]

Bland Calls Created MCP

32 minutes ago

Mar 6, 2026, 2:40 PM

A

Ashley Parker

[email protected]

Bland Calls List Toolbox

Audit log

Every Bland call action is on record.

When, who, what happened, type and resource, appended for each Bland request.

From answering questions to doing the work

A trigger starts the work, inside the same permissions and the same audit log as everything else. Automations, collections and live dashboards come with the Black plan.

Bland digest

Run 418 · started 2 minutes ago · on behalf of Emily Carter

  1. ✓

    Schedule

    Every weekday at 8:00 AM

    0.2s
  2. ✓

    Fetch calls

    Bland

    1.4s
  3. ✓

    Group by owner

    Transform

    0.1s
  4. ✓

    Draft the digest

    Agent step

    Ran with 4 tools, returned a structured summary

    6.2s
  5. Approve the digest

    Needs approval

    Assigned to Jake Morgan

    Approve
  6. Post the digest

    Bland

    Queued

Automations

A schedule turns Bland calls into action.

Six steps fetch calls, group them, draft a digest, await approval, post back.

Bland health

Refreshed 4 minutes ago · every 15 minutes · from the calls collection

Live

Calls

1,284 ↓ 12%

Transcripts

96 ↓ 8%

Needs attention

3 ↑ 2

Updated this week

412 ↑ 9%

Calls created

Last 14 days

By team

Share of activity

Support EMEA 34%

Sales US 27%

Quality review 21%

Compliance archive 18%

Collections and dashboards

Bland call health, counted not asked for.

Four metrics, fourteen days of calls created and a team breakdown, refreshed on schedule.

For IT and engineering

Elaichi vs Zapier MCP vs Composio for Bland

All three can connect Bland to an AI assistant, and all three have admin controls. They differ in where access lives and how you pay.

Elaichi compared with Zapier MCP and Composio for Bland, by what to check
What to check Elaichi Zapier MCP Composio
Where the AI connects One address for the whole organization. https://api.elaichi.ai/mcp A server per member, created at sign-in. An MCP endpoint per team, or an SDK.
Control over Bland tools Allow or restrict single Bland tools, per role or user. App and action restrictions on the account. Role permissions, down to the action.
Record of calls One audit entry per Bland call. A History tab of tool calls. A log of every tool call.
Single sign-on SAML or OIDC, plus SCIM, on Gold. SAML on Enterprise. SAML and OIDC on Enterprise.
Price Free for one person; $15 per user per month on Gold. 2 tasks per successful call. Billed per tool call.

Sources: Zapier MCP docs, security, usage; Composio docs, gateway, enterprise, pricing. Checked September 2026.

Longer take: Zapier MCP alternative and when you don't need an MCP gateway.

Bland tools for your AI agents

133 tools are ready to call through Elaichi's MCP endpoint the moment you connect Bland, governed by the same roles, restrictions, and audit log as everything else in Elaichi.

Questions, answered

How do I connect Bland to Claude?

Connect Bland in Elaichi first: choose the Bland connector, paste in your Bland API key, and it is ready. Then in Claude open Customize, then Connectors, then Add, and paste the Elaichi endpoint https://api.elaichi.ai/mcp. There is no OAuth application to register in Bland and no client ID or secret to generate.

Does Bland work with ChatGPT and Cursor as well as Claude?

Yes. Once Bland is connected in Elaichi, the same endpoint, https://api.elaichi.ai/mcp, works in Claude, ChatGPT, Cursor, Microsoft Copilot, any other MCP client and the Elaichi Agent. You connect Bland once and every client picks it up.

What can an AI agent actually do with my Bland data?

An agent can place a Bland call down one of your pathways, list active and past calls, pull a recording or corrected transcript, run the call analysis, listen in, transfer a live call to a person, or stop a call. It can also manage your Bland voices and post-call webhooks and check your account details. Because Bland exposes a lot of actions, short concrete asks such as "stop all active calls" work better than long paragraphs.

Does connecting Bland give the AI my whole account?

The agent only gets what the Bland API key you connected can already reach, nothing more. Elaichi can then narrow that further, for example allowing your team to read Bland transcripts and recordings but not place or stop calls. Elaichi never widens access beyond what the key itself allows.

Can my team share one Bland connection?

Yes. One person connects Bland with the API key and shares the connection with a team in Elaichi, and nobody else ever sees or handles that key. Each teammate still signs in to Elaichi as themselves, so every Bland call placed or recording pulled is logged under their own name.

Can I stop an agent from deleting voices or stopping calls in Bland?

Yes. Restrictions in Elaichi work per action, so you can restrict deleting Bland voices, stopping calls or placing new ones while leaving transcripts and recordings open. A restricted action still appears in Elaichi's tool search, flagged as restricted, but Claude, ChatGPT, Cursor or Microsoft Copilot cannot run it, whatever the prompt says.

What happens to a Bland connection when someone leaves?

When you offboard a person in Elaichi, their access to Bland through every AI client ends at once. If they had shared a Bland connection with a team, it keeps working for everyone else. If you want Bland gone entirely, disconnecting it once in Elaichi removes it from Claude, ChatGPT, Cursor, Microsoft Copilot and every other client together.

Does the Bland MCP connector work with Gemini, Codex, Claude Code or other MCP clients?

Yes. Bland is reached over the same MCP endpoint every client uses, so anything that speaks MCP can call it — Gemini, Codex, Claude Code, Windsurf, Cline, Zed and OpenCode among them — alongside Claude, ChatGPT, Cursor, Microsoft Copilot, and the Elaichi Agent. The tools on offer and the access behind them are identical whichever client asks. Only the setup screen differs.

Is Elaichi an alternative to Zapier MCP for Bland?

Yes. Both let Claude, ChatGPT or Cursor use Bland. Zapier MCP fits a team that already automates in Zapier, since each person signs in and acts as themselves in that account. Elaichi fits when IT wants one address for the whole company, per-tool rules by role, and a record of every Bland call.

How is Elaichi different from Composio for Bland?

Composio gives AI agents tools and sign-in handling across 1,000+ apps, for developers building agents or people using an assistant, billed per tool call. Elaichi gives a company's own people governed access to Bland: one address, restrictions per role or user, and $15 per user per month. Both have role permissions and a log of every call.

Put Bland in front of your team

14 days of Black, no credit card. Connect it once and pick what each team can call.

When the trial ends, nothing is deleted. You move to the free Personal plan, and connections, roles and the audit log stay where they are.

Add one link to your AI app

The same link for everyone on your team.

https://api.elaichi.ai/mcp
  • ChatGPT
  • Claude
  • Cursor
  • Microsoft Copilot