MCP Studio by Nexla

Task-specific MCP servers.One prompt away.

Tell MCP Studio what your agents need to do. It proposes the tools, wires the connectors and credentials, and deploys a governed task-specific MCP server your agents can call in minutes.

Free to start · No card required

ClaudeClaudemcp client
Show me a summary of all our sales calls from the last 90 days and where we could have improved.
1s · 1 running task · thinking
Used sales-insights
Summarized 214 calls. The biggest gap: pricing objections went unanswered in 41 calls that later stalled — strongest wins followed early discovery questions.
Chart those 41 by rep.
1s · 1 running task · thinking
Used sales-insights

Stalled after an unanswered pricing objection · last 90 days

Priya14
Marcus11
Lena8
Dev5
Sam3

Priya and Marcus own 61% of the stalls. Start the coaching there.

groundedgovernedcross-system

Connector probes · 5 tools · live

GongGong GET /v2/calls?from=-90dqueued
AvomaAvoma GET /v1/meetings/insightsqueued
SalesforceSalesforce GET /opportunities?since=-90dqueued
SlackSlack GET /conversations.history?ch=deal-roomqueued
ApolloApollo GET /v1/users?team=aequeued

1,000+ connectors

Nexla gateway

Credentials from vault, never the client
Policy: Read-only scope · PII fields masked
Every call audited · full lineage
1,000+ connectorscross-systemfetched live

No code

required

1,000+

managed connectors

Bidirectional

read and write

Enterprise

security built in

The case for task-specific

Tool bloat is the problem. We measured the fix.

The industry's own numbers say agents drown in tool definitions before they ever answer. A task-specific server is the direct response: scoped to the job at hand, it exposes only the tools that job needs, in a schema of about 1,200 tokens where a vendor's native server re-sends 39,000 on every turn. Then we benchmarked it against those native servers to prove it.

The industry’s own numbers

AnthropicAnthropic

49% → 74%

Five connected MCP servers produce 58 tools and roughly 55,000 tokens of definitions before the conversation starts; Anthropic's internal setup hit 134,000. Their Tool Search Tool lifted MCP evaluation accuracy on Opus 4 from 49% to 74% purely by narrowing what the model sees.

Anthropic · Introducing advanced tool use
CloudflareCloudflare

52 tools · ~9,400 tokens

Four internal MCP servers exposed 52 tools costing roughly 9,400 tokens of definitions. Cloudflare's enterprise reference architecture scopes what each agent sees, so the cost stays fixed as servers are added instead of growing with every one.

Cloudflare · Scaling MCP adoption
ResearchResearch

93.1% vs 87.1%

A 2026 tool-retrieval study reached the same task coverage while showing the model roughly seven times fewer tools, and adaptive shortlists beat a fixed tool list on selection accuracy, 93.1% to 87.1%. Fewer, sharper tools make agents more accurate, not less capable.

arXiv · How many tools should an agent see?
Y CombinatorY Combinator

“It eats too much context window.”

Garry Tan, CEO of Y Combinator, on why he ripped MCP out of his own workflow: “MCP sucks honestly. It eats too much context window.” The market's loudest complaint about MCP is tool bloat, said out loud by the person who funds the market.

Garry Tan · on X
The fix, measured · task-specific vs the vendor's native MCP serveridentical questions · live accounts · judge-verified

01 · CRM

vs. HubSpot CRM MCP

90-day won/lost revenue analysis on a live portal

32.7× fewer tokens2 turns vs 10
native708,973 tokens
task-specific21,682 tokens
Both exact, to the dollarRead the benchmark

02 · Ads

vs. Google Ads MCP

10 reporting tasks × 2 frontier models, 40 task-cells

1 call vs 4.71.9–2.2× faster
native50,102 tokens / task
task-specific10,668 tokens / task
Byte-identical results, 10 of 10, on both modelsRead the benchmark

03 · Calls

vs. Avoma MCP

Meeting and call analysis on a live account

1 vs 25 errored callsservice key, no OAuth
native25 errored calls
task-specific1 errored call
Exact call counts and direction splitsRead the benchmark

04 · Warehouse

vs. Google BigQuery MCP

20 operational tasks, Claude API harness

3.1× fewer tokens0 clarification loops vs 17
native112,904 tokens
task-specific39,661 tokens
100% accuracy vs 90%Read the benchmark
Every run verified against independent ground truthSee all four benchmarks

Run by Nexla on our own harness, which is exactly why every method, task list, and raw trace is published. Read them, question them, re-run them.

One workspace, end to end

Build the toolkit. MCP Studio does the plumbing.

MCP Studio absorbs the connector maintenance, credential handling, and schema drift that make agent tooling a chore.

1,000+ managed connectors

Tools that reach anything

Give agents tools over APIs, databases, warehouses, SaaS apps, files, and streams, with credentials and connector upkeep handled for you.
SalesforceSalesforceSnowflakeSnowflakeShopifyShopifyPostgresPostgresDatabricksDatabricksBigQueryBigQueryOpenAIOpenAIAnthropicAnthropicRESTand more
Read, write, upsert, delete

Bidirectional by design

Agents act as well as answer. A task-specific server can look records up, update them, and write results back to the systems your team already runs.
Versioned and reviewable

Use prompt to edit

Add a tool, tighten a parameter, or rebind a credential conversationally. Every publish is an immutable revision, with history and rollback built in.
Agent-ready, enterprise-safe

Governed from the first call

Schema, lineage, access, auditing, error recovery, and monitoring travel with every server, so agents only reach what you've allowed.
Lineage
Access
Audit
Recovery

How it works

Three steps to a live server.

MCP Studio turns a task description into a working MCP server while keeping every tool visible and editable.

01

Describe the task

Say what the agent should be able to do, in plain English. MCP Studio reads your context and proposes a tool set with names, parameters, and connector bindings. No SDK, YAML, or glue code.

02

Review and build

Edit the proposed tools, bind credentials, and hit Build. MCP Studio creates the sources and toolset, then registers the server in your org's catalog.

03

Agents start calling

The server is live and callable on the next turn, with access governed by Nexla for every agent and person you allow.

Pricing

Free to start, priced by the work.

Credits cover the work MCP Studio performs; connectors and infrastructure aren't billed separately. You don't need a card to start.

Free

For trying Express and shipping your first data flows.

$0/ month

100 credits / month

Start building free
  • Up to 5 pipelines
  • Batch, transform, and stream workflows
  • Essential monitoring
  • Community support
Most popular

Pro

For teams moving production data every day.

$50/ month

1,000 credits / month · billed annually

Checkout unavailable
  • Up to 100 pipelines
  • ETL, ELT, APIs, and realtime streaming
  • Advanced monitoring and collaboration
  • Add credits as you grow
  • 24/7 support

Business

For organizations with custom scale and governance needs.

Custom

Credits and limits tailored to your team

Talk to us
  • Custom credits and pipeline limits
  • Enterprise connectors and CDC
  • SSO, SLA, and premium support
  • Dedicated account team

FAQ

The useful details.

Still evaluating a specific task? Start a free chat and describe it. The fastest answer is often a working server.

MCP Studio is Nexla’s builder for task-specific MCP servers. Describe what your agents need to do and it proposes the tools, builds the server, and operates the connectors, credentials, and governed access behind it.

No. MCP Studio works from plain-English intent, and you review every proposed tool before it's built. Advanced users can still inspect and refine what it creates.

MCP Studio builds on Nexla’s catalog of 1,000+ managed, bidirectional connectors across SaaS apps, databases, warehouses, files, APIs, and streaming systems.

Yes. Servers inherit governed schemas, lineage, access controls, auditing, retries, and monitoring from Nexla, and every publish is a tested, immutable revision you can roll back.

Yes. Re-open the project and re-prompt to add a tool, tighten a parameter, or rebind a credential. Changes remain reviewable, and the platform preserves revision history and rollback.

Your first MCP server is one prompt away.

Build it now, then re-prompt it as the task changes, with revisions and rollback the whole way.

Start building free